The SAS System                          1
                                      16:53 Monday, December 4, 2017

Obs    season    v           vs   h           hs      ve      st

  1   Final Pr   Nuggets    108   Warriors   102   ORACLE A   CA   
  2   Final Pr   Timberwo   108   Lakers      99   Honda Ce   CA   
  3   Final Pr   Hawks       90   Heat        96   American   FL   
  4   Final Pr   Clippers   113   Raptors    121   Stan She   HI   
  5   Final Pr   Long-Lio    96   Wizards    126   Capital    DC   
  6   Final Pr   Hornets     82   Celtics     94   TD Garde   MA   
  7   Final Pr   Magic       84   Grizzlie    92   FedExFor   TN   
  8   Final Pr   Bucks      104   Maverick   106   American   TX   
  9   Final Pr   Kings       83   Jazz       108   Vivint S   UT   
 10   Final Pr   Spurs      100   Kings      106   Golden 1   CA   
 11   Final Pr   Nuggets    113   Lakers     107   Staples    CA   
 12   Final Pr   Nets       115   Knicks     107   Madison    NY   
 13   Final Pr   Bulls      113   Pelicans   109   Smoothie   LA   
 14   Final Pr   Rockets    104   Thunder     97   BOK Cent   OK   
 15   Final Pr   Suns       114   Blazers    112   Moda Cen   OR   
 16   Final Pr   Raptors     84   Clippers    98   Stan She   HI   
 17   Final Pr   Grizzlie   110   76ers       89   Wells Fa   PA   
 18   Final Pr   Hawks      109   Cavalier    93   Quicken    OH   
 19   Final Pr   Hornets    108   Pistons    106   Little C   MI   
 20   Final Pr   Pacers     104   Bucks       86   BMO Harr   WI   
 21   Final Pr   Bulls       71   Maverick   118   American   TX   
 22   Final Pr   Haifa       78   Jazz       117   Vivint S   UT   
 23   Final Pr   Nuggets    122   Lakers     104   Citizens   CA   
 24   Final Pr   Timberwo   111   Warriors    95   Shenzhen   China
 25   Final Pr   Maverick    89   Magic      112   Amway Ce   FL   
 26   Final Pr   Heat        88   Nets       107   Barclays   NY   
 27   Final Pr   Sharks      82   Rockets    144   Toyota C   TX   
 28   Final Pr   Raptors    101   Blazers    106   Moda Cen   OR   
 29   Final Pr   Celtics    110   76ers      102   Wells Fa   PA   
 30   Final Pr   Knicks     100   Wizards    104   Capital    DC   
 31   Final Pr   Hawks       87   Pistons    109   Little C   MI   
 32   Final Pr   Pacers     106   Cavalier   102   Quicken    OH   
 33   Final Pr   Bucks      101   Bulls      114   United C   IL   
 34   Final Pr   Pelicans    91   Thunder    102   Chesapea   OK   
 35   Final Pr   Kings       93   Spurs      113   AT&T Cen   TX   
 36   Final Pr   Suns       101   Jazz       112   Vivint S   UT   
 37   Final Pr   Heat        90   Magic       93   Amway Ce   FL   
 38   Final Pr   Warriors   142   Timberwo   110   Mercedes   China
 39   Final Pr   United      85   Thunder     86   Chesapea   OK   
 40   Final Pr   Cavalier    94   Wizards    102   Capital    DC   
 41   Final Pr   Blazers    134   Clippers   106   Staples    CA   
 42   Final Pr   Nuggets    100   Spurs      122   AT&T Cen   TX   
 43   Final Pr   Pelicans   108   Bulls       95   United C   IL   
 44   Final Pr   Knicks      83   Nets       117   Barclays   NY   
 45   Final Pr   Kings       69   Lakers      75   T-Mobile   NV   
 46   Final Pr   Pacers      97   Pistons    107   Little C   MI   
 47   Final Pr   76ers       96   Celtics    113   TD Garde   MA   
 48   Final Pr   Rockets    117   Knicks      95   Madison    NY   
 49   Final Pr   Grizzlie    88   Hawks      100   McCamish   GA   
 50   Final Pr   Hornets    106   Heat       109   American   FL   
 51   Final Pr   Magic       96   Maverick    99   American   TX   
 52   Final Pr   Jazz       120   Suns       102   Talking    AZ   
 53   Final Pr   Blazers     97   Kings       83   Golden 1   CA   
 54   Final Pr   Pistons     94   Raptors    116   Air Cana   ON   
 55   Final Pr   Haifa       89   Pacers     108   Bankers    IN   
 56   Final Pr   Bulls      108   Cavalier    94   Quicken    OH   
 57   Final Pr   Magic      103   Spurs       98   AT&T Cen   TX   
 58   Final Pr   Thunder     96   Nuggets     86   Pepsi Ce   CO   
 59   Final Pr   Jazz       105   Lakers      99   Staples    CA   
 60   Final Pr   Celtics    108   Hornets    100   Spectrum   NC   
 61   Final Pr   76ers      133   Nets       114   Nassau C   NY   
 62   Final Pr   Wizards    115   Heat       117   American   FL   
 63   Final Pr   Rockets    101   Grizzlie    89   FedExFor   TN   
 64   Final Pr   Blazers    113   Suns       104   Talking    AZ   
 65   Final Pr   Maverick   108   Hawks       94   McCamish   GA   
 66   Final Pr   Kings       87   Clippers   104   Staples    CA   
 67   Final Pr   Maverick    96   Hornets    111   Spectrum   NC   
 68   Final Pr   Cavalier   113   Magic      106   Amway Ce   FL   
 69   Final Pr   Wizards    110   Knicks     103   Madison    NY   
 70   Final Pr   Raptors    125   Bulls      104   United C   IL   
 71   Final Pr   Pelicans   101   Grizzlie   142   FedExFor   TN   
 72   Final Pr   Spurs      106   Rockets     97   Toyota C   TX   
 73   Final Pr   Heat        95   76ers      119   Sprint C   MO   
 74   Final Pr   Pistons    103   Bucks      107   BMO Harr   WI   
 75   Final Pr   Bullets     93   Suns       114   Talking    AZ   
 76   Final Pr   Haifa       81   Blazers    129   Moda Cen   OR   
 77   Final Pr   Kings      106   Warriors   117   ORACLE A   CA   
 78   Final Pr   Lakers     111   Clippers   104   Staples    CA   
 79   FinalReg   Celtics     99   Cavalier   102   Quicken    OH   
 80   FinalReg   Rockets    122   Warriors   121   ORACLE A   CA   
 81   FinalReg   Hornets     90   Pistons    102   Little C   MI   
 82   FinalReg   Nets       131   Pacers     140   Bankers    IN   
 83   FinalReg   Heat       109   Magic      116   Amway Ce   FL   
 84   FinalReg   76ers      115   Wizards    120   Capital    DC   
 85   FinalReg   Bucks      108   Celtics    100   TD Garde   MA   
 86   FinalReg   Pelicans    91   Grizzlie   103   FedExFor   TN   
 87   FinalReg   Hawks      117   Maverick   111   American   TX   
 88   FinalReg   Nuggets     96   Jazz       106   Vivint S   UT   
 89   FinalReg   Timberwo    99   Spurs      107   AT&T Cen   TX   
 90   FinalReg   Blazers    124   Suns        76   Talking    AZ   
 91   FinalReg   Rockets    105   Kings      100   Golden 1   CA   
 92   FinalReg   Bulls      100   Raptors    117   Air Cana   ON   
 93   FinalReg   Knicks      84   Thunder    105   Chesapea   OK   
 94   FinalReg   Clippers   108   Lakers      92   Staples    CA   
 95   FinalReg   Hawks       91   Hornets    109   Spectrum   NC   
 96   FinalReg   Blazers    114   Pacers      96   Bankers    IN   
 97   FinalReg   Celtics    102   76ers       92   Wells Fa   PA   
 98   FinalReg   Pistons    111   Wizards    115   Capital    DC   
 99   FinalReg   Cavalier   116   Bucks       97   BMO Harr   WI   
100   FinalReg   Magic      121   Nets       126   Barclays   NY   
101   FinalReg   Jazz        97   Timberwo   100   Target C   MN   
102   FinalReg   Kings       93   Maverick    88   American   TX   
103   FinalReg   Warriors   128   Pelicans   120   Smoothie   LA   
104   FinalReg   Lakers     132   Suns       130   Talking    AZ   
105   FinalReg   76ers       94   Raptors    128   Air Cana   ON   
106   FinalReg   Magic      114   Cavalier    93   Quicken    OH   
107   FinalReg   Pacers     108   Heat       112   American   FL   
108   FinalReg   Pistons    111   Knicks     107   Madison    NY   
109   FinalReg   Spurs       87   Bulls       77   United C   IL   
110   FinalReg   Maverick    91   Rockets    107   Toyota C   TX   
111   FinalReg   Warriors   101   Grizzlie   111   FedExFor   TN   
112   FinalReg   Blazers    110   Bucks      113   BMO Harr   WI   
113   FinalReg   Kings       79   Nuggets     96   Pepsi Ce   CO   
114   FinalReg   Thunder     87   Jazz        96   Vivint S   UT   
115   FinalReg   Suns        88   Clippers   130   Staples    CA   
116   FinalReg   Hawks      104   Nets       116   Barclays   NY   
117   FinalReg   Timberwo   115   Thunder    113   Chesapea   OK   
118   FinalReg   Pelicans   119   Lakers     112   Staples    CA   
119   FinalReg   76ers       97   Pistons     86   Little C   MI   
120   FinalReg   Hawks       93   Heat       104   American   FL   
121   FinalReg   Grizzlie    98   Rockets     90   Toyota C   TX   
122   FinalReg   Hornets     94   Bucks      103   BMO Harr   WI   
123   FinalReg   Warriors   133   Maverick   103   American   TX   
124   FinalReg   Raptors     97   Spurs      101   AT&T Cen   TX   
125   FinalReg   Wizards    109   Nuggets    104   Pepsi Ce   CO   
126   FinalReg   Kings      115   Suns       117   Talking    AZ   
127   FinalReg   Bulls      112   Cavalier   119   Quicken    OH   
128   FinalReg   Nets       121   Magic      125   Amway Ce   FL   
129   FinalReg   Knicks      89   Celtics    110   TD Garde   MA   
130   FinalReg   Pacers     130   Timberwo   107   Target C   MN   
131   FinalReg   Pelicans    93   Blazers    103   Moda Cen   OR   
132   FinalReg   Jazz        84   Clippers   102   Staples    CA   
133   FinalReg   Nuggets     93   Hornets    110   Spectrum   NC   
134   FinalReg   Timberwo   101   Pistons    122   Little C   MI   
135   FinalReg   Rockets    105   76ers      104   Wells Fa   PA   
136   FinalReg   Cavalier   107   Nets       112   Barclays   NY   
137   FinalReg   Spurs      117   Heat       100   American   FL   
138   FinalReg   Pacers      96   Thunder    114   Chesapea   OK   
139   FinalReg   Grizzlie    94   Maverick   103   American   TX   
140   FinalReg   Jazz        88   Suns        97   Talking    AZ   
141   FinalReg   Raptors    112   Warriors   117   ORACLE A   CA   
142   FinalReg   Wizards     99   Lakers     102   Staples    CA   
143   FinalReg   Hawks       86   Bulls       91   United C   IL   
144   FinalReg   Maverick    91   Grizzlie    96   FedExFor   TN   
145   FinalReg   Celtics     96   Bucks       89   UW-Milwa   WI   
                           The SAS System                          2
                                      16:53 Monday, December 4, 2017

  Obs    season    v           vs   h           hs      ve      st

  146   FinalReg   Clippers   104   Blazers    103   Moda Cen   OR
  147   FinalReg   Pelicans   114   Kings      106   Golden 1   CA
  148   FinalReg   Rockets    109   Hornets     93   Spectrum   NC
  149   FinalReg   Spurs       87   Magic      114   Amway Ce   FL
  150   FinalReg   Nuggets    105   Hawks      100   Philips    GA
  151   FinalReg   Nets        86   Knicks     107   Madison    NY
  152   FinalReg   Thunder    116   Timberwo   119   Target C   MN
  153   FinalReg   Wizards    117   Warriors   120   ORACLE A   CA
  154   FinalReg   Raptors    101   Lakers      92   Staples    CA
  155   FinalReg   Cavalier   101   Pelicans   123   Smoothie   LA
  156   FinalReg   Celtics     96   Heat        90   American   FL
  157   FinalReg   Thunder    101   Bulls       69   United C   IL
  158   FinalReg   Rockets     89   Grizzlie   103   FedExFor   TN
  159   FinalReg   76ers      112   Maverick   110   American   TX
  160   FinalReg   Lakers      81   Jazz        96   Vivint S   UT
  161   FinalReg   Suns       107   Blazers    114   Moda Cen   OR
  162   FinalReg   Pistons     95   Clippers    87   Staples    CA
  163   FinalReg   Bucks      117   Hawks      106   Philips    GA
  164   FinalReg   Spurs       94   Pacers      97   Bankers    IN
  165   FinalReg   Nuggets    124   Nets       111   Barclays   NY
  166   FinalReg   Magic      113   Hornets    120   Spectrum   NC
  167   FinalReg   Wizards    110   Kings       83   Golden 1   CA
  168   FinalReg   Knicks     114   Cavalier    95   Quicken    OH
  169   FinalReg   Pistons    115   Warriors   107   ORACLE A   CA
  170   FinalReg   Spurs       94   Celtics    108   TD Garde   MA
  171   FinalReg   Timberwo   125   Heat       122   American   FL
  172   FinalReg   Nuggets    110   Knicks     116   Madison    NY
  173   FinalReg   76ers      115   Rockets    107   Toyota C   TX
  174   FinalReg   Hornets    104   Grizzlie    99   FedExFor   TN
  175   FinalReg   Magic      115   Pelicans    99   Smoothie   LA
  176   FinalReg   Maverick    89   Jazz       104   Vivint S   UT
  177   FinalReg   Raptors     99   Blazers     85   Moda Cen   OR
  178   FinalReg   Warriors   141   Clippers   113   Staples    CA
  179   FinalReg   Kings       83   Pacers     101   Bankers    IN
  180   FinalReg   Suns       122   Nets       114   Barclays   NY
  181   FinalReg   Thunder    110   Bucks       91   BMO Harr   WI
  182   FinalReg   Pistons     93   Lakers     113   Staples    CA
  183   FinalReg   Bucks      121   Hornets    126   Spectrum   NC
  184   FinalReg   Pacers     124   Cavalier   107   Quicken    OH
  185   FinalReg   Hawks      109   76ers      119   Wells Fa   PA
  186   FinalReg   Suns       122   Wizards    116   Capital    DC
  187   FinalReg   Kings       86   Celtics    113   TD Garde   MA
  188   FinalReg   Bulls       91   Heat        97   American   FL
  189   FinalReg   Rockets    119   Knicks      97   Madison    NY
  190   FinalReg   Magic      101   Grizzlie    99   FedExFor   TN
  191   FinalReg   Timberwo   104   Pelicans    98   Smoothie   LA
  192   FinalReg   Raptors    111   Nuggets    129   Pepsi Ce   CO
  193   FinalReg   Blazers    103   Jazz       112   Vivint S   UT
  194   FinalReg   Maverick    98   Clippers   119   Staples    CA
  195   FinalReg   Warriors   112   Spurs       92   AT&T Cen   TX
  196   FinalReg   Lakers     110   Blazers    113   Moda Cen   OR
  197   FinalReg   Bucks       96   Pistons    105   Little C   MI
  198   FinalReg   Bulls      105   Magic       83   Amway Ce   FL
  199   FinalReg   Pacers     110   76ers      121   Wells Fa   PA
  200   FinalReg   Cavalier   130   Wizards    122   Capital    DC
  201   FinalReg   Rockets    119   Hawks      104   Philips    GA
  202   FinalReg   Suns       107   Knicks     120   Madison    NY
  203   FinalReg   Pelicans    99   Maverick    94   American   TX
  204   FinalReg   Hornets    101   Spurs      108   AT&T Cen   TX
  205   FinalReg   Heat        94   Nuggets     95   Pepsi Ce   CO
  206   FinalReg   Raptors    109   Jazz       100   Vivint S   UT
  207   FinalReg   Celtics    101   Thunder     94   Chesapea   OK
  208   FinalReg   Nets       112   Lakers     124   Staples    CA
  209   FinalReg   Grizzlie   113   Clippers   104   Staples    CA
  210   FinalReg   Kings       99   Pistons    108   Little C   MI
  211   FinalReg   Pelicans    96   Bulls       90   United C   IL
  212   FinalReg   Maverick    99   Timberwo   112   Target C   MN
  213   FinalReg   Warriors   127   Nuggets    108   Pepsi Ce   CO
  214   FinalReg   Hawks      117   Cavalier   115   Quicken    OH
  215   FinalReg   Heat       104   Clippers   101   Staples    CA
  216   FinalReg   Celtics    104   Magic       88   Amway Ce   FL
  217   FinalReg   Wizards    107   Raptors     96   Air Cana   ON
  218   FinalReg   Jazz       110   Rockets    137   Toyota C   TX
  219   FinalReg   Suns        95   Spurs      112   AT&T Cen   TX
  220   FinalReg   Pacers     101   Knicks     108   Madison    NY
  221   FinalReg   Hornets     94   Timberwo   112   Target C   MN
  222   FinalReg   Thunder     99   Blazers    103   Moda Cen   OR
  223   FinalReg   Grizzlie   102   Lakers     107   Staples    CA
  224   FinalReg   Celtics    110   Hawks      107   Philips    GA
  225   FinalReg   Nets        98   Suns        92   Talking    AZ
  226   FinalReg   Heat        80   Warriors    97   ORACLE A   CA
  227   FinalReg   Bucks      119   Cavalier   124   Quicken    OH
  228   FinalReg   Pelicans   117   Pacers     112   Bankers    IN
  229   FinalReg   Maverick   113   Wizards     99   Capital    DC
  230   FinalReg   Hornets    113   Knicks     118   Madison    NY
  231   FinalReg   Bulls      114   Raptors    119   Air Cana   ON
  232   FinalReg   Clippers   107   Spurs      120   AT&T Cen   TX
  233   FinalReg   Nets       104   Nuggets    112   Pepsi Ce   CO
  234   FinalReg   76ers      104   Jazz        97   Vivint S   UT
  235   FinalReg   Grizzlie    98   Blazers     97   Moda Cen   OR
  236   FinalReg   Thunder     86   Kings       94   Golden 1   CA
  237   FinalReg   Pacers      97   Pistons    114   Little C   MI
  238   FinalReg   Knicks      99   Magic      112   Amway Ce   FL
  239   FinalReg   Lakers      96   Celtics    107   TD Garde   MA
  240   FinalReg   Heat       126   Suns       115   Talking    AZ
  241   FinalReg   Timberwo   101   Warriors   125   ORACLE A   CA
  242   FinalReg   Lakers      95   Wizards    111   Capital    DC
  243   FinalReg   Pelicans   118   Raptors    122   Air Cana   ON
  244   FinalReg   Cavalier   113   Rockets    117   Toyota C   TX
  245   FinalReg   76ers      108   Kings      109   Golden 1   CA
  246   FinalReg   Thunder     94   Nuggets    102   Pepsi Ce   CO
  247   FinalReg   Hawks      104   Pistons    111   Little C   MI
  248   FinalReg   Hornets     87   Celtics     90   TD Garde   MA
  249   FinalReg   Pacers     105   Bulls       87   United C   IL
  250   FinalReg   Clippers   111   Thunder    120   Chesapea   OK
  251   FinalReg   Bucks       94   Spurs       87   AT&T Cen   TX
  252   FinalReg   Magic      128   Suns       112   Talking    AZ
  253   FinalReg   Heat        84   Jazz        74   Vivint S   UT
  254   FinalReg   Nets       101   Blazers     97   Moda Cen   OR
  255   FinalReg   Hawks       94   Wizards    113   Capital    DC
  256   FinalReg   Clippers   103   Pelicans   111   Smoothie   LA
  257   FinalReg   Kings       91   Knicks     118   Madison    NY
  258   FinalReg   Grizzlie    96   Rockets    111   Toyota C   TX
  259   FinalReg   Cavalier   111   Maverick   104   American   TX
  260   FinalReg   Lakers      90   Bucks       98   BMO Harr   WI
  261   FinalReg   Bulls       94   Spurs      133   AT&T Cen   TX
  262   FinalReg   76ers      114   Warriors   135   ORACLE A   CA
  263   FinalReg   Magic      107   Nuggets    125   Pepsi Ce   CO
  264   FinalReg   Timberwo   110   Suns       118   Talking    AZ
  265   FinalReg   Nets       106   Jazz       114   Vivint S   UT
                           The SAS System                          3
                                      16:53 Monday, December 4, 2017

                       The LOGISTIC Procedure

                         Model Information

           Data Set                      WORK.NBA        
           Response Variable             result          
           Number of Response Levels     2               
           Model                         binary logit    
           Optimization Technique        Fisher's scoring


              Number of Observations Read         265
              Number of Observations Used         265


                          Response Profile
 
                 Ordered                      Total
                   Value       result     Frequency

                       1            1           151
                       2            0           114

                  Probability modeled is result=1.


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                               Without           With
              Criterion     Covariates     Covariates

              AIC              367.368        374.573
              SC               367.368        496.284
              -2 Log L         367.368        306.573


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        60.7953       34         0.0032
      Score                   53.4319       34         0.0182
      Wald                    38.5221       34         0.2723


NOTE: The following parameters have been set to 0, since the 
      variables are a linear combination of other variables as 
      shown.


 x35 =  -x1 - x2 - x3 - x4 - x5 - x6 - x7 - x8 - x9 - x10         
        - x11 - x12 - x13 - x14 - x15 - x16 - x17 - x18           
        - x19 - x20 - x21 - x22 - x23 - x24 - x25 - x26           
        - x27 - x28 - x29 - x30 - x31 - x32 - x33 - x34           


              Analysis of Maximum Likelihood Estimates
 
                         Standard        Wald
Parameter  DF  Estimate     Error  Chi-Square  Pr > ChiSq  Label

x1          1    0.0180    0.7600      0.0006      0.9811  76ers    
x2          1   -0.2030    0.7701      0.0695      0.7921  Blazers  
x3          1   -0.6320    0.7893      0.6410      0.4233  Bucks    
x4          1  -15.2260    1213.7      0.0002      0.9900  Bullets  
x5          1   -1.3787    0.7991      2.9771      0.0844  Bulls    
x6          1   -1.0258    0.7355      1.9451      0.1631  Cavalier 
x7          1    1.6313    0.9565      2.9088      0.0881  Celtics  
x8          1   -0.6832    0.7661      0.7952      0.3725  Clippers 
x9          1    0.2624    0.7961      0.1087      0.7417  Grizzlie 
x10         1  -14.4530     699.1      0.0004      0.9835  Haifa    
x11         1   -1.6572    0.8029      4.2596      0.0390  Hawks    
x12         1   -0.2622    0.7354      0.1272      0.7214  Heat     
x13         1   -0.3011    0.7851      0.1471      0.7013  Hornets  
x14         1   -0.0737    0.7659      0.0093      0.9233  Jazz     
x15         1   -1.5374    0.7896      3.7913      0.0515  Kings    
x16         1   -0.5654    0.7256      0.6072      0.4358  Knicks   
x17         1   -0.7612    0.7131      1.1396      0.2857  Lakers   
x18         1  -14.2029    1213.7      0.0001      0.9907  Long-Lio 
x19         1   -0.0510    0.7524      0.0046      0.9460  Magic    
x20         1   -1.2427    0.7589      2.6814      0.1015  Maverick 
x21         1   -0.5829    0.7504      0.6035      0.4373  Nets     
x22         1    0.1839    0.7316      0.0631      0.8016  Nuggets  
x23         1   -0.4507    0.7657      0.3465      0.5561  Pacers   
x24         1   -0.6387    0.7734      0.6820      0.4089  Pelicans 
x25         1    0.1830    0.7501      0.0595      0.8072  Pistons  
x26         1    0.1935    0.7591      0.0650      0.7988  Raptors  
x27         1    0.9998    0.8341      1.4366      0.2307  Rockets  
x28         1  -13.2031    1213.7      0.0001      0.9913  Sharks   
x29         1    0.2331    0.7747      0.0905      0.7635  Spurs    
x30         1   -1.0231    0.7547      1.8380      0.1752  Suns     
x31         1   -0.3383    0.7961      0.1806      0.6708  Thunder  
x32         1    0.2808    0.7979      0.1239      0.7249  Timberwo 
x33         1  -14.5412    1213.7      0.0001      0.9904  United   
x34         1    0.8781    0.7710      1.2973      0.2547  Warriors 
x35         0         0         .       .           .      Wizards  


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x1           1.018       0.230       4.516
             x2           0.816       0.180       3.693
             x3           0.532       0.113       2.497
             x4          <0.001      <0.001    >999.999
             x5           0.252       0.053       1.206
             x6           0.359       0.085       1.516
             x7           5.111       0.784      33.317
             x8           0.505       0.113       2.267
             x9           1.300       0.273       6.189
             x10         <0.001      <0.001    >999.999
             x11          0.191       0.040       0.920
             x12          0.769       0.182       3.252
             x13          0.740       0.159       3.448
             x14          0.929       0.207       4.168
             x15          0.215       0.046       1.010
             x16          0.568       0.137       2.356
             x17          0.467       0.115       1.890
             x18         <0.001      <0.001    >999.999
             x19          0.950       0.217       4.152
             x20          0.289       0.065       1.277
             x21          0.558       0.128       2.430
             x22          1.202       0.286       5.042
             x23          0.637       0.142       2.858
             x24          0.528       0.116       2.404
             x25          1.201       0.276       5.223
             x26          1.214       0.274       5.373
             x27          2.718       0.530      13.939
             x28         <0.001      <0.001    >999.999
             x29          1.263       0.277       5.763
             x30          0.359       0.082       1.578
             x31          0.713       0.150       3.394
             x32          1.324       0.277       6.326
             x33         <0.001      <0.001    >999.999
                           The SAS System                          4
                                      16:53 Monday, December 4, 2017

                       The LOGISTIC Procedure
WARNING: The validity of the model fit is questionable.

                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x34          2.406       0.531      10.905


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     75.7    Somers' D    0.518
         Percent Discordant     24.0    Gamma        0.519
         Percent Tied            0.3    Tau-a        0.255
         Pairs                 17214    c            0.759
                           The SAS System                          5
                                      16:53 Monday, December 4, 2017

                       The LOGISTIC Procedure

                         Model Information

           Data Set                      WORK.NBA        
           Response Variable             result          
           Number of Response Levels     2               
           Model                         binary logit    
           Optimization Technique        Fisher's scoring


              Number of Observations Read         265
              Number of Observations Used         265


                          Response Profile
 
                 Ordered                      Total
                   Value       result     Frequency

                       1            1           151
                       2            0           114

                  Probability modeled is result=1.


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                        Model Fit Statistics
 
                                            Intercept
                             Intercept            and
               Criterion          Only     Covariates

               AIC             364.185        373.157
               SC              367.765        498.447
               -2 Log L        362.185        303.157


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        59.0281       34         0.0049
      Score                   52.2112       34         0.0237
      Wald                    38.5418       34         0.2716


NOTE: The following parameters have been set to 0, since the 
      variables are a linear combination of other variables as 
      shown.


 x35 =  -x1 - x2 - x3 - x4 - x5 - x6 - x7 - x8 - x9 - x10         
        - x11 - x12 - x13 - x14 - x15 - x16 - x17 - x18           
        - x19 - x20 - x21 - x22 - x23 - x24 - x25 - x26           
        - x27 - x28 - x29 - x30 - x31 - x32 - x33 - x34           


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.2683      0.1460        3.3768        0.0661
x1            1      0.1274      0.7708        0.0273        0.8687
x2            1     -0.2417      0.7798        0.0961        0.7566
x3            1     -0.5948      0.7979        0.5557        0.4560
x4            1    -15.0391      1231.6        0.0001        0.9903
x5            1     -1.3111      0.8114        2.6112        0.1061
x6            1     -0.9980      0.7538        1.7528        0.1855
x7            1      1.7419      0.9703        3.2225        0.0726
x8            1     -0.7541      0.7800        0.9347        0.3337
x9            1      0.2918      0.8042        0.1317        0.7167
x10           1    -14.1957       710.7        0.0004        0.9841
x11           1     -1.5024      0.8169        3.3820        0.0659
x12           1     -0.1992      0.7475        0.0710        0.7899
x13           1     -0.1997      0.8014        0.0621        0.8032
x14           1     -0.1440      0.7804        0.0340        0.8537
x15           1     -1.4611      0.7938        3.3876        0.0657
x16           1     -0.6037      0.7367        0.6714        0.4126
x17           1     -0.8332      0.7240        1.3243        0.2498
x18           1    -13.9638      1231.6        0.0001        0.9910
x19           1      0.0130      0.7665        0.0003        0.9864
x20           1     -1.2266      0.7749        2.5061        0.1134
x21           1     -0.5499      0.7635        0.5187        0.4714
x22           1      0.2039      0.7406        0.0758        0.7831
x23           1     -0.3069      0.7817        0.1541        0.6946
x24           1     -0.5201      0.7852        0.4387        0.5078
x25           1      0.2105      0.7612        0.0765        0.7821
x26           1      0.2461      0.7732        0.1013        0.7503
x27           1      1.0876      0.8459        1.6534        0.1985
x28           1    -12.8761      1231.6        0.0001        0.9917
x29           1      0.2240      0.7881        0.0808        0.7763
x30           1     -1.0753      0.7701        1.9497        0.1626
x31           1     -0.2736      0.8059        0.1153        0.7342
x32           1      0.3710      0.8120        0.2087        0.6478
x33           1    -14.2374      1231.6        0.0001        0.9908
x34           1      0.8782      0.7825        1.2595        0.2618
x35           0           0           .         .             .    

              Analysis of Maximum Likelihood Estimates
 
                  Parameter    Label

                  Intercept    Intercept: result=1
                  x1           76ers              
                  x2           Blazers            
                  x3           Bucks              
                  x4           Bullets            
                  x5           Bulls              
                  x6           Cavalier           
                  x7           Celtics            
                  x8           Clippers           
                  x9           Grizzlie           
                  x10          Haifa              
                  x11          Hawks              
                  x12          Heat               
                  x13          Hornets            
                  x14          Jazz               
                  x15          Kings              
                  x16          Knicks             
                  x17          Lakers             
                  x18          Long-Lio           
                  x19          Magic              
                  x20          Maverick           
                  x21          Nets               
                  x22          Nuggets            
                  x23          Pacers             
                  x24          Pelicans           
                  x25          Pistons            
                  x26          Raptors            
                  x27          Rockets            
                  x28          Sharks             
                  x29          Spurs              
                  x30          Suns               
                  x31          Thunder            
                  x32          Timberwo           
                           The SAS System                          6
                                      16:53 Monday, December 4, 2017

                       The LOGISTIC Procedure
WARNING: The validity of the model fit is questionable.

              Analysis of Maximum Likelihood Estimates
 
                  Parameter    Label

                  x33          United             
                  x34          Warriors           
                  x35          Wizards            


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x1           1.136       0.251       5.146
             x2           0.785       0.170       3.621
             x3           0.552       0.115       2.636
             x4          <0.001      <0.001    >999.999
             x5           0.270       0.055       1.322
             x6           0.369       0.084       1.615
             x7           5.708       0.852      38.235
             x8           0.470       0.102       2.170
             x9           1.339       0.277       6.476
             x10         <0.001      <0.001    >999.999
             x11          0.223       0.045       1.104
             x12          0.819       0.189       3.546
             x13          0.819       0.170       3.939
             x14          0.866       0.188       3.998
             x15          0.232       0.049       1.099
             x16          0.547       0.129       2.317
             x17          0.435       0.105       1.797
             x18         <0.001      <0.001    >999.999
             x19          1.013       0.226       4.551
             x20          0.293       0.064       1.339
             x21          0.577       0.129       2.577
             x22          1.226       0.287       5.236
             x23          0.736       0.159       3.405
             x24          0.594       0.128       2.770
             x25          1.234       0.278       5.487
             x26          1.279       0.281       5.821
             x27          2.967       0.565      15.572
             x28         <0.001      <0.001    >999.999
             x29          1.251       0.267       5.862
             x30          0.341       0.075       1.544
             x31          0.761       0.157       3.691
             x32          1.449       0.295       7.116
             x33         <0.001      <0.001    >999.999
             x34          2.407       0.519      11.155


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     75.9    Somers' D    0.521
         Percent Discordant     23.8    Gamma        0.523
         Percent Tied            0.3    Tau-a        0.256
         Pairs                 17214    c            0.760
        Exact Tests for Assoc. betw. treatment and infection       7
                                      16:53 Monday, December 4, 2017

                         The FREQ Procedure

                     Table of treatment by q21

       treatment     q21

       Frequency|       0|       1|       3|       7|  Total
       ---------+--------+--------+--------+--------+
              1 |      2 |      3 |      0 |      1 |      6
       ---------+--------+--------+--------+--------+
              2 |      4 |      0 |      1 |      0 |      5
       ---------+--------+--------+--------+--------+
              3 |      4 |      0 |      0 |      2 |      6
       ---------+--------+--------+--------+--------+
              4 |      3 |      0 |      0 |      3 |      6
       ---------+--------+--------+--------+--------+
       Total          13        3        1        6       23


              Statistics for Table of treatment by q21

       Statistic                     DF       Value      Prob
       ------------------------------------------------------
       Chi-Square                     9     16.2573    0.0617
       Likelihood Ratio Chi-Square    9     16.3545    0.0598
       Mantel-Haenszel Chi-Square     1      1.5785    0.2090
       Phi Coefficient                       0.8407          
       Contingency Coefficient               0.6435          
       Cramer's V                            0.4854          

    WARNING: 100% of the cells have expected counts less than 5.
             (Asymptotic) Chi-Square may not be a valid test.   


                      Pearson Chi-Square Test
                 ----------------------------------
                 Chi-Square                 16.2573
                 DF                               9
                 Asymptotic Pr >  ChiSq      0.0617
                 Exact      Pr >= ChiSq      0.0322


                  Likelihood Ratio Chi-Square Test
                 ----------------------------------
                 Chi-Square                 16.3545
                 DF                               9
                 Asymptotic Pr >  ChiSq      0.0598
                 Exact      Pr >= ChiSq      0.0707


                  Mantel-Haenszel Chi-Square Test
                 ----------------------------------
                 Chi-Square                  1.5785
                 DF                               1
                 Asymptotic Pr >  ChiSq      0.2090
                 Exact      Pr >= ChiSq      0.2247

                          Sample Size = 23
        Exact Tests for Assoc. betw. treatment and infection       8
                                      16:53 Monday, December 4, 2017

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.TRY        
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.726         28.435          9.285
       SC               30.722         30.426         11.276
       -2 Log L         27.726         24.435          5.285


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.2913        1         0.0696
      Score                    3.2000        1         0.0736
      Wald                     3.0152        1         0.0825


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1    1.23E-18      0.4880        0.0000        1.0000
x             1      0.8473      0.4880        3.0152        0.0825


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.333       0.897       6.072


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection       9
                                      16:53 Monday, December 4, 2017

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.0400   0.1789   0.1399
                  Probability      0.0779   0.1789   0.1399
        Exact Tests for Assoc. betw. treatment and infection      10
                                      16:53 Monday, December 4, 2017

------------------------------ i=-100 ------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               45.077         39.975         20.826
       SC                45.077         40.971         21.821
       -2 Log L          45.077         37.975         18.826


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         7.1016        1         0.0077
      Score                    7.6195        1         0.0058
      Wald                     7.6957        1         0.0055


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.6948      0.6109        7.6957        0.0055
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            5.445       1.644      18.033


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      11
                                      16:53 Monday, December 4, 2017

------------------------------ i=-99 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               44.773         39.755         20.605
       SC                44.773         40.751         21.601
       -2 Log L          44.773         37.755         18.605


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         7.0181        1         0.0081
      Score                    7.5046        1         0.0062
      Wald                     7.5744        1         0.0059


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.6783      0.6098        7.5744        0.0059
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            5.357       1.621      17.701


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      12
                                      16:53 Monday, December 4, 2017

------------------------------ i=-98 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               44.471         39.536         20.386
       SC                44.471         40.531         21.381
       -2 Log L          44.471         37.536         18.386


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.9355        1         0.0084
      Score                    7.3921        1         0.0066
      Wald                     7.4552        1         0.0063


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.6620      0.6087        7.4552        0.0063
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            5.270       1.598      17.376


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      13
                                      16:53 Monday, December 4, 2017

------------------------------ i=-97 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               44.171         39.317         20.167
       SC                44.171         40.313         21.163
       -2 Log L          44.171         37.317         18.167


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.8540        1         0.0088
      Score                    7.2820        1         0.0070
      Wald                     7.3382        1         0.0068


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.6458      0.6076        7.3382        0.0068
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            5.185       1.576      17.058


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      14
                                      16:53 Monday, December 4, 2017

------------------------------ i=-96 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               43.872         39.099         19.949
       SC                43.872         40.095         20.945
       -2 Log L          43.872         37.099         17.949


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.7734        1         0.0093
      Score                    7.1741        1         0.0074
      Wald                     7.2233        1         0.0072


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.6297      0.6064        7.2233        0.0072
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            5.103       1.555      16.747


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      15
                                      16:53 Monday, December 4, 2017

------------------------------ i=-95 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               43.575         38.882         19.732
       SC                43.575         39.877         20.727
       -2 Log L          43.575         36.882         17.732


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.6939        1         0.0097
      Score                    7.0684        1         0.0078
      Wald                     7.1106        1         0.0077


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.6138      0.6052        7.1106        0.0077
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            5.022       1.534      16.444


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      16
                                      16:53 Monday, December 4, 2017

------------------------------ i=-94 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               43.280         38.665         19.515
       SC                43.280         39.661         20.511
       -2 Log L          43.280         36.665         17.515


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.6153        1         0.0101
      Score                    6.9649        1         0.0083
      Wald                     7.0001        1         0.0082


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.5980      0.6040        7.0001        0.0082
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.943       1.513      16.146


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      17
                                      16:53 Monday, December 4, 2017

------------------------------ i=-93 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               42.987         38.450         19.300
       SC                42.987         39.445         20.295
       -2 Log L          42.987         36.450         17.300


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.5378        1         0.0106
      Score                    6.8635        1         0.0088
      Wald                     6.8916        1         0.0087


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.5822      0.6027        6.8916        0.0087
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.866       1.493      15.856


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      18
                                      16:53 Monday, December 4, 2017

------------------------------ i=-92 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               42.696         38.235         19.085
       SC                42.696         39.230         20.081
       -2 Log L          42.696         36.235         17.085


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.4612        1         0.0110
      Score                    6.7643        1         0.0093
      Wald                     6.7852        1         0.0092


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.5667      0.6014        6.7852        0.0092
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.791       1.474      15.572


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      19
                                      16:53 Monday, December 4, 2017

------------------------------ i=-91 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               42.407         38.021         18.871
       SC                42.407         39.017         19.867
       -2 Log L          42.407         36.021         16.871


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.3857        1         0.0115
      Score                    6.6671        1         0.0098
      Wald                     6.6809        1         0.0097


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.5512      0.6001        6.6809        0.0097
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.717       1.455      15.294


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      20
                                      16:53 Monday, December 4, 2017

------------------------------ i=-90 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               42.119         37.808         18.658
       SC                42.119         38.804         19.654
       -2 Log L          42.119         35.808         16.658


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.3112        1         0.0120
      Score                    6.5720        1         0.0104
      Wald                     6.5786        1         0.0103


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.5359      0.5988        6.5786        0.0103
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.646       1.437      15.023


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      21
                                      16:53 Monday, December 4, 2017

------------------------------ i=-89 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               41.834         37.596         18.446
       SC                41.834         38.592         19.442
       -2 Log L          41.834         35.596         16.446


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.2377        1         0.0125
      Score                    6.4788        1         0.0109
      Wald                     6.4784        1         0.0109


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.5207      0.5975        6.4784        0.0109
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.576       1.419      14.758


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      22
                                      16:53 Monday, December 4, 2017

------------------------------ i=-88 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               41.550         37.385         18.235
       SC                41.550         38.381         19.231
       -2 Log L          41.550         35.385         16.235


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.1652        1         0.0130
      Score                    6.3876        1         0.0115
      Wald                     6.3801        1         0.0115


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.5057      0.5961        6.3801        0.0115
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.507       1.401      14.499


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      23
                                      16:53 Monday, December 4, 2017

------------------------------ i=-87 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               41.268         37.175         18.025
       SC                41.268         38.170         19.020
       -2 Log L          41.268         35.175         16.025


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.0937        1         0.0136
      Score                    6.2983        1         0.0121
      Wald                     6.2838        1         0.0122


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.4908      0.5947        6.2838        0.0122
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.441       1.384      14.245


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      24
                                      16:53 Monday, December 4, 2017

------------------------------ i=-86 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               40.989         36.966         17.816
       SC                40.989         37.961         18.811
       -2 Log L          40.989         34.966         15.816


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.0233        1         0.0141
      Score                    6.2109        1         0.0127
      Wald                     6.1895        1         0.0129


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.4760      0.5933        6.1895        0.0129
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.376       1.368      13.998


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      25
                                      16:53 Monday, December 4, 2017

------------------------------ i=-85 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               40.711         36.758         17.608
       SC                40.711         37.753         18.603
       -2 Log L          40.711         34.758         15.608


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.9538        1         0.0147
      Score                    6.1253        1         0.0133
      Wald                     6.0970        1         0.0135


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.4614      0.5919        6.0970        0.0135
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.312       1.352      13.756


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      26
                                      16:53 Monday, December 4, 2017

------------------------------ i=-84 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               40.436         36.551         17.401
       SC                40.436         37.546         18.396
       -2 Log L          40.436         34.551         15.401


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.8854        1         0.0153
      Score                    6.0415        1         0.0140
      Wald                     6.0065        1         0.0143


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.4470      0.5904        6.0065        0.0143
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.250       1.336      13.520


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      27
                                      16:53 Monday, December 4, 2017

------------------------------ i=-83 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               40.163         36.345         17.195
       SC                40.163         37.341         18.191
       -2 Log L          40.163         34.345         15.195


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.8180        1         0.0159
      Score                    5.9596        1         0.0146
      Wald                     5.9179        1         0.0150


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.4327      0.5889        5.9179        0.0150
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.190       1.321      13.289


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      28
                                      16:53 Monday, December 4, 2017

------------------------------ i=-82 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               39.892         36.140         16.990
       SC                39.892         37.136         17.986
       -2 Log L          39.892         34.140         14.990


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.7516        1         0.0165
      Score                    5.8793        1         0.0153
      Wald                     5.8312        1         0.0157


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.4185      0.5874        5.8312        0.0157
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.131       1.306      13.064


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      29
                                      16:53 Monday, December 4, 2017

------------------------------ i=-81 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               39.623         35.937         16.787
       SC                39.623         36.932         17.782
       -2 Log L          39.623         33.937         14.787


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.6862        1         0.0171
      Score                    5.8008        1         0.0160
      Wald                     5.7463        1         0.0165


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.4045      0.5859        5.7463        0.0165
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.073       1.292      12.844


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      30
                                      16:53 Monday, December 4, 2017

------------------------------ i=-80 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               39.356         35.734         16.584
       SC                39.356         36.730         17.580
       -2 Log L          39.356         33.734         14.584


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.6218        1         0.0177
      Score                    5.7239        1         0.0167
      Wald                     5.6632        1         0.0173


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.3906      0.5844        5.6632        0.0173
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.017       1.278      12.629


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      31
                                      16:53 Monday, December 4, 2017

------------------------------ i=-79 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               39.092         35.533         16.383
       SC                39.092         36.529         17.379
       -2 Log L          39.092         33.533         14.383


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.5584        1         0.0184
      Score                    5.6487        1         0.0175
      Wald                     5.5819        1         0.0181


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.3769      0.5828        5.5819        0.0181
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.963       1.264      12.419


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      32
                                      16:53 Monday, December 4, 2017

------------------------------ i=-78 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               38.829         35.333         16.183
       SC                38.829         36.329         17.179
       -2 Log L          38.829         33.333         14.183


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.4960        1         0.0191
      Score                    5.5752        1         0.0182
      Wald                     5.5024        1         0.0190


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.3634      0.5812        5.5024        0.0190
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.909       1.251      12.214


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      33
                                      16:53 Monday, December 4, 2017

------------------------------ i=-77 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               38.569         35.135         15.985
       SC                38.569         36.131         16.981
       -2 Log L          38.569         33.135         13.985


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.4346        1         0.0197
      Score                    5.5032        1         0.0190
      Wald                     5.4246        1         0.0199


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.3500      0.5796        5.4246        0.0199
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.858       1.239      12.014


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      34
                                      16:53 Monday, December 4, 2017

------------------------------ i=-76 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               38.312         34.938         15.788
       SC                38.312         35.933         16.783
       -2 Log L          38.312         32.938         13.788


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.3742        1         0.0204
      Score                    5.4327        1         0.0198
      Wald                     5.3486        1         0.0207


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.3368      0.5780        5.3486        0.0207
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.807       1.226      11.819


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      35
                                      16:53 Monday, December 4, 2017

------------------------------ i=-75 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               38.057         34.742         15.592
       SC                38.057         35.737         16.587
       -2 Log L          38.057         32.742         13.592


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.3148        1         0.0211
      Score                    5.3639        1         0.0206
      Wald                     5.2732        1         0.0217


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.3236      0.5764        5.2732        0.0217
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.757       1.214      11.627


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      36
                                      16:53 Monday, December 4, 2017

------------------------------ i=-74 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               37.804         34.547         15.397
       SC                37.804         35.543         16.393
       -2 Log L          37.804         32.547         13.397


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.2564        1         0.0219
      Score                    5.2965        1         0.0214
      Wald                     5.2015        1         0.0226


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.3109      0.5748        5.2015        0.0226
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.709       1.202      11.443


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      37
                                      16:53 Monday, December 4, 2017

------------------------------ i=-73 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               37.553         34.354         15.204
       SC                37.553         35.350         16.200
       -2 Log L          37.553         32.354         13.204


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.1990        1         0.0226
      Score                    5.2306        1         0.0222
      Wald                     5.1305        1         0.0235


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2982      0.5731        5.1305        0.0235
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.663       1.191      11.262


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      38
                                      16:53 Monday, December 4, 2017

------------------------------ i=-72 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               37.305         34.163         15.013
       SC                37.305         35.158         16.008
       -2 Log L          37.305         32.163         13.013


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.1425        1         0.0233
      Score                    5.1661        1         0.0230
      Wald                     5.0611        1         0.0245


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2856      0.5715        5.0611        0.0245
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.617       1.180      11.086


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      39
                                      16:53 Monday, December 4, 2017

------------------------------ i=-71 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               37.060         33.973         14.823
       SC                37.060         34.968         15.818
       -2 Log L          37.060         31.973         12.823


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.0871        1         0.0241
      Score                    5.1031        1         0.0239
      Wald                     4.9933        1         0.0254


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2732      0.5698        4.9933        0.0254
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.572       1.169      10.913


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      40
                                      16:53 Monday, December 4, 2017

------------------------------ i=-70 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               36.817         33.784         14.634
       SC                36.817         34.780         15.630
       -2 Log L          36.817         31.784         12.634


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.0326        1         0.0249
      Score                    5.0414        1         0.0247
      Wald                     4.9271        1         0.0264


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2610      0.5681        4.9271        0.0264
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.529       1.159      10.746


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      41
                                      16:53 Monday, December 4, 2017

------------------------------ i=-69 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               36.576         33.597         14.447
       SC                36.576         34.593         15.443
       -2 Log L          36.576         31.597         12.447


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.9791        1         0.0257
      Score                    4.9812        1         0.0256
      Wald                     4.8624        1         0.0274


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2490      0.5664        4.8624        0.0274
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.487       1.149      10.582


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      42
                                      16:53 Monday, December 4, 2017

------------------------------ i=-68 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               36.338         33.412         14.262
       SC                36.338         34.408         15.258
       -2 Log L          36.338         31.412         12.262


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.9265        1         0.0264
      Score                    4.9223        1         0.0265
      Wald                     4.7993        1         0.0285


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2371      0.5647        4.7993        0.0285
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.446       1.139      10.422


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      43
                                      16:53 Monday, December 4, 2017

------------------------------ i=-67 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               36.103         33.228         14.078
       SC                36.103         34.224         15.074
       -2 Log L          36.103         31.228         12.078


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.8749        1         0.0272
      Score                    4.8647        1         0.0274
      Wald                     4.7377        1         0.0295


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2255      0.5630        4.7377        0.0295
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.406       1.130      10.267


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      44
                                      16:53 Monday, December 4, 2017

------------------------------ i=-66 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               35.870         33.046         13.896
       SC                35.870         34.042         14.892
       -2 Log L          35.870         31.046         11.896


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.8243        1         0.0281
      Score                    4.8084        1         0.0283
      Wald                     4.6775        1         0.0306


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2139      0.5613        4.6775        0.0306
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.367       1.121      10.115


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      45
                                      16:53 Monday, December 4, 2017

------------------------------ i=-65 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               35.640         32.866         13.716
       SC                35.640         33.861         14.711
       -2 Log L          35.640         30.866         11.716


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.7746        1         0.0289
      Score                    4.7535        1         0.0292
      Wald                     4.6188        1         0.0316


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2026      0.5596        4.6188        0.0316
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.329       1.112       9.968


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      46
                                      16:53 Monday, December 4, 2017

------------------------------ i=-64 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               35.413         32.687         13.537
       SC                35.413         33.683         14.533
       -2 Log L          35.413         30.687         11.537


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.7259        1         0.0297
      Score                    4.6997        1         0.0302
      Wald                     4.5616        1         0.0327


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1915      0.5579        4.5616        0.0327
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.292       1.103       9.824


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      47
                                      16:53 Monday, December 4, 2017

------------------------------ i=-63 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               35.188         32.510         13.360
       SC                35.188         33.506         14.356
       -2 Log L          35.188         30.510         11.360


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.6781        1         0.0305
      Score                    4.6473        1         0.0311
      Wald                     4.5057        1         0.0338


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1805      0.5561        4.5057        0.0338
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.256       1.095       9.684


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      48
                                      16:53 Monday, December 4, 2017

------------------------------ i=-62 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               34.967         32.335         13.185
       SC                34.967         33.331         14.181
       -2 Log L          34.967         30.335         11.185


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.6312        1         0.0314
      Score                    4.5960        1         0.0320
      Wald                     4.4512        1         0.0349


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1697      0.5544        4.4512        0.0349
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.221       1.087       9.548


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      49
                                      16:53 Monday, December 4, 2017

------------------------------ i=-61 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               34.748         32.162         13.012
       SC                34.748         33.158         14.008
       -2 Log L          34.748         30.162         11.012


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.5853        1         0.0322
      Score                    4.5459        1         0.0330
      Wald                     4.3981        1         0.0360


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1591      0.5527        4.3981        0.0360
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.187       1.079       9.416


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      50
                                      16:53 Monday, December 4, 2017

------------------------------ i=-60 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               34.531         31.991         12.841
       SC                34.531         32.987         13.837
       -2 Log L          34.531         29.991         10.841


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.5403        1         0.0331
      Score                    4.4970        1         0.0340
      Wald                     4.3463        1         0.0371


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1487      0.5510        4.3463        0.0371
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.154       1.071       9.286


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      51
                                      16:53 Monday, December 4, 2017

------------------------------ i=-59 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               34.318         31.822         12.672
       SC                34.318         32.817         13.667
       -2 Log L          34.318         29.822         10.672


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.4962        1         0.0340
      Score                    4.4493        1         0.0349
      Wald                     4.2959        1         0.0382


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1384      0.5493        4.2959        0.0382
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.122       1.064       9.161


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      52
                                      16:53 Monday, December 4, 2017

------------------------------ i=-58 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               34.107         31.654         12.504
       SC                34.107         32.650         13.500
       -2 Log L          34.107         29.654         10.504


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.4530        1         0.0348
      Score                    4.4027        1         0.0359
      Wald                     4.2467        1         0.0393


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1284      0.5475        4.2467        0.0393
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.091       1.057       9.039


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      53
                                      16:53 Monday, December 4, 2017

------------------------------ i=-57 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               33.900         31.489         12.339
       SC                33.900         32.485         13.335
       -2 Log L          33.900         29.489         10.339


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.4107        1         0.0357
      Score                    4.3573        1         0.0369
      Wald                     4.1988        1         0.0405


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1185      0.5458        4.1988        0.0405
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.060       1.050       8.920


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      54
                                      16:53 Monday, December 4, 2017

------------------------------ i=-56 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               33.695         31.326         12.176
       SC                33.695         32.322         13.172
       -2 Log L          33.695         29.326         10.176


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.3693        1         0.0366
      Score                    4.3129        1         0.0378
      Wald                     4.1521        1         0.0416


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1088      0.5441        4.1521        0.0416
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.031       1.043       8.804


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      55
                                      16:53 Monday, December 4, 2017

------------------------------ i=-55 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               33.493         31.165         12.015
       SC                33.493         32.160         13.010
       -2 Log L          33.493         29.165         10.015


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.3288        1         0.0375
      Score                    4.2696        1         0.0388
      Wald                     4.1067        1         0.0427


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0993      0.5424        4.1067        0.0427
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.002       1.037       8.692


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      56
                                      16:53 Monday, December 4, 2017

------------------------------ i=-54 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               33.295         31.006         11.856
       SC                33.295         32.001         12.851
       -2 Log L          33.295         29.006          9.856


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.2892        1         0.0384
      Score                    4.2274        1         0.0398
      Wald                     4.0624        1         0.0438


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0899      0.5408        4.0624        0.0438
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.974       1.031       8.583


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      57
                                      16:53 Monday, December 4, 2017

------------------------------ i=-53 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               33.099         30.849         11.699
       SC                33.099         31.844         12.694
       -2 Log L          33.099         28.849          9.699


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.2504        1         0.0392
      Score                    4.1863        1         0.0408
      Wald                     4.0194        1         0.0450


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0808      0.5391        4.0194        0.0450
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.947       1.024       8.477


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      58
                                      16:53 Monday, December 4, 2017

------------------------------ i=-52 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               32.906         30.694         11.544
       SC                32.906         31.690         12.540
       -2 Log L          32.906         28.694          9.544


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.2126        1         0.0401
      Score                    4.1461        1         0.0417
      Wald                     3.9775        1         0.0461


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0718      0.5374        3.9775        0.0461
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.921       1.019       8.374


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      59
                                      16:53 Monday, December 4, 2017

------------------------------ i=-51 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               32.717         30.541         11.391
       SC                32.717         31.537         12.387
       -2 Log L          32.717         28.541          9.391


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.1756        1         0.0410
      Score                    4.1070        1         0.0427
      Wald                     3.9367        1         0.0472


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0630      0.5358        3.9367        0.0472
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.895       1.013       8.274


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      60
                                      16:53 Monday, December 4, 2017

------------------------------ i=-50 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               32.530         30.391         11.241
       SC                32.530         31.387         12.237
       -2 Log L          32.530         28.391          9.241


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.1394        1         0.0419
      Score                    4.0689        1         0.0437
      Wald                     3.8971        1         0.0484


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0544      0.5341        3.8971        0.0484
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.870       1.008       8.177


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      61
                                      16:53 Monday, December 4, 2017

------------------------------ i=-49 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               32.347         30.243         11.093
       SC                32.347         31.239         12.089
       -2 Log L          32.347         28.243          9.093


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.1041        1         0.0428
      Score                    4.0318        1         0.0446
      Wald                     3.8585        1         0.0495


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0460      0.5325        3.8585        0.0495
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.846       1.002       8.083


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      62
                                      16:53 Monday, December 4, 2017

------------------------------ i=-48 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               32.167         30.097         10.948
       SC                32.167         31.093         11.943
       -2 Log L          32.167         28.097          8.948


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.0696        1         0.0437
      Score                    3.9957        1         0.0456
      Wald                     3.8211        1         0.0506


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0378      0.5309        3.8211        0.0506
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.823       0.997       7.991


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      63
                                      16:53 Monday, December 4, 2017

------------------------------ i=-47 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               31.990         29.954         10.804
       SC                31.990         30.950         11.800
       -2 Log L          31.990         27.954          8.804


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.0360        1         0.0445
      Score                    3.9605        1         0.0466
      Wald                     3.7846        1         0.0517


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0297      0.5293        3.7846        0.0517
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.800       0.992       7.902


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      64
                                      16:53 Monday, December 4, 2017

------------------------------ i=-46 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               31.817         29.813         10.663
       SC                31.817         30.809         11.659
       -2 Log L          31.817         27.813          8.663


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.0032        1         0.0454
      Score                    3.9262        1         0.0475
      Wald                     3.7493        1         0.0528


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0219      0.5277        3.7493        0.0528
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.778       0.988       7.816


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      65
                                      16:53 Monday, December 4, 2017

------------------------------ i=-45 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               31.646         29.675         10.525
       SC                31.646         30.671         11.521
       -2 Log L          31.646         27.675          8.525


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.9712        1         0.0463
      Score                    3.8929        1         0.0485
      Wald                     3.7149        1         0.0539


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0142      0.5262        3.7149        0.0539
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.757       0.983       7.733


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      66
                                      16:53 Monday, December 4, 2017

------------------------------ i=-44 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               31.479         29.539         10.389
       SC                31.479         30.535         11.385
       -2 Log L          31.479         27.539          8.389


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.9401        1         0.0471
      Score                    3.8605        1         0.0494
      Wald                     3.6816        1         0.0550


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0067      0.5246        3.6816        0.0550
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.736       0.979       7.652


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      67
                                      16:53 Monday, December 4, 2017

------------------------------ i=-43 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               31.315         29.406         10.256
       SC                31.315         30.401         11.251
       -2 Log L          31.315         27.406          8.256


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.9097        1         0.0480
      Score                    3.8291        1         0.0504
      Wald                     3.6492        1         0.0561


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9993      0.5231        3.6492        0.0561
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.716       0.974       7.574


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      68
                                      16:53 Monday, December 4, 2017

------------------------------ i=-42 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               31.155         29.275         10.125
       SC                31.155         30.270         11.120
       -2 Log L          31.155         27.275          8.125


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.8801        1         0.0489
      Score                    3.7985        1         0.0513
      Wald                     3.6178        1         0.0572


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9922      0.5216        3.6178        0.0572
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.697       0.970       7.498


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      69
                                      16:53 Monday, December 4, 2017

------------------------------ i=-41 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               30.998         29.146          9.996
       SC                30.998         30.142         10.992
       -2 Log L          30.998         27.146          7.996


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.8514        1         0.0497
      Score                    3.7687        1         0.0522
      Wald                     3.5874        1         0.0582


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9852      0.5202        3.5874        0.0582
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.678       0.966       7.424


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      70
                                      16:53 Monday, December 4, 2017

------------------------------ i=-40 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               30.844         29.021          9.871
       SC                30.844         30.016         10.866
       -2 Log L          30.844         27.021          7.871


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.8234        1         0.0505
      Score                    3.7399        1         0.0531
      Wald                     3.5579        1         0.0593


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9784      0.5187        3.5579        0.0593
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.660       0.962       7.353


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      71
                                      16:53 Monday, December 4, 2017

------------------------------ i=-39 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               30.694         28.898          9.748
       SC                30.694         29.893         10.743
       -2 Log L          30.694         26.898          7.748


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.7962        1         0.0514
      Score                    3.7119        1         0.0540
      Wald                     3.5293        1         0.0603


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9718      0.5173        3.5293        0.0603
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.643       0.959       7.284


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      72
                                      16:53 Monday, December 4, 2017

------------------------------ i=-38 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               30.547         28.777          9.627
       SC                30.547         29.773         10.623
       -2 Log L          30.547         26.777          7.627


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.7698        1         0.0522
      Score                    3.6848        1         0.0549
      Wald                     3.5016        1         0.0613


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9654      0.5159        3.5016        0.0613
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.626       0.955       7.218


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      73
                                      16:53 Monday, December 4, 2017

------------------------------ i=-37 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               30.404         28.659          9.509
       SC                30.404         29.655         10.505
       -2 Log L          30.404         26.659          7.509


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.7442        1         0.0530
      Score                    3.6584        1         0.0558
      Wald                     3.4749        1         0.0623


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9592      0.5145        3.4749        0.0623
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.610       0.952       7.154


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      74
                                      16:53 Monday, December 4, 2017

------------------------------ i=-36 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               30.264         28.544          9.394
       SC                30.264         29.540         10.390
       -2 Log L          30.264         26.544          7.394


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.7193        1         0.0538
      Score                    3.6329        1         0.0566
      Wald                     3.4490        1         0.0633


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9531      0.5132        3.4490        0.0633
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.594       0.949       7.092


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      75
                                      16:53 Monday, December 4, 2017

------------------------------ i=-35 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               30.127         28.432          9.282
       SC                30.127         29.428         10.278
       -2 Log L          30.127         26.432          7.282


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.6952        1         0.0546
      Score                    3.6083        1         0.0575
      Wald                     3.4239        1         0.0643


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9472      0.5119        3.4239        0.0643
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.578       0.945       7.032


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      76
                                      16:53 Monday, December 4, 2017

------------------------------ i=-34 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.995         28.323          9.173
       SC                29.995         29.319         10.169
       -2 Log L          29.995         26.323          7.173


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.6718        1         0.0553
      Score                    3.5844        1         0.0583
      Wald                     3.3997        1         0.0652


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9415      0.5106        3.3997        0.0652
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.564       0.942       6.974


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      77
                                      16:53 Monday, December 4, 2017

------------------------------ i=-33 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.865         28.216          9.066
       SC                29.865         29.212         10.062
       -2 Log L          29.865         26.216          7.066


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.6492        1         0.0561
      Score                    3.5613        1         0.0591
      Wald                     3.3764        1         0.0661


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9359      0.5094        3.3764        0.0661
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.550       0.940       6.919


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      78
                                      16:53 Monday, December 4, 2017

------------------------------ i=-32 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.740         28.113          8.963
       SC                29.740         29.108          9.958
       -2 Log L          29.740         26.113          6.963


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.6273        1         0.0568
      Score                    3.5390        1         0.0599
      Wald                     3.3538        1         0.0670


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9306      0.5081        3.3538        0.0670
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.536       0.937       6.865


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      79
                                      16:53 Monday, December 4, 2017

------------------------------ i=-31 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.618         28.012          8.862
       SC                29.618         29.007          9.857
       -2 Log L          29.618         26.012          6.862


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.6062        1         0.0576
      Score                    3.5175        1         0.0607
      Wald                     3.3321        1         0.0679


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9254      0.5069        3.3321        0.0679
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.523       0.934       6.814


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      80
                                      16:53 Monday, December 4, 2017

------------------------------ i=-30 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.500         27.914          8.764
       SC                29.500         28.909          9.760
       -2 Log L          29.500         25.914          6.764


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.5858        1         0.0583
      Score                    3.4967        1         0.0615
      Wald                     3.3112        1         0.0688


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9203      0.5058        3.3112        0.0688
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.510       0.932       6.764


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      81
                                      16:53 Monday, December 4, 2017

------------------------------ i=-29 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.385         27.819          8.669
       SC                29.385         28.814          9.665
       -2 Log L          29.385         25.819          6.669


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.5661        1         0.0590
      Score                    3.4767        1         0.0622
      Wald                     3.2911        1         0.0697


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9155      0.5046        3.2911        0.0697
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.498       0.929       6.717


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      82
                                      16:53 Monday, December 4, 2017

------------------------------ i=-28 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.274         27.727          8.577
       SC                29.274         28.722          9.572
       -2 Log L          29.274         25.727          6.577


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.5471        1         0.0596
      Score                    3.4575        1         0.0630
      Wald                     3.2718        1         0.0705


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9108      0.5036        3.2718        0.0705
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.486       0.927       6.671


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      83
                                      16:53 Monday, December 4, 2017

------------------------------ i=-27 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.167         27.638          8.488
       SC                29.167         28.633          9.483
       -2 Log L          29.167         25.638          6.488


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.5288        1         0.0603
      Score                    3.4390        1         0.0637
      Wald                     3.2532        1         0.0713


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9063      0.5025        3.2532        0.0713
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.475       0.924       6.627


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      84
                                      16:53 Monday, December 4, 2017

------------------------------ i=-26 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.063         27.552          8.402
       SC                29.063         28.547          9.397
       -2 Log L          29.063         25.552          6.402


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.5113        1         0.0610
      Score                    3.4212        1         0.0644
      Wald                     3.2354        1         0.0721


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9020      0.5015        3.2354        0.0721
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.464       0.922       6.585


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      85
                                      16:53 Monday, December 4, 2017

------------------------------ i=-25 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.963         27.469          8.319
       SC                28.963         28.464          9.314
       -2 Log L          28.963         25.469          6.319


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4944        1         0.0616
      Score                    3.4042        1         0.0650
      Wald                     3.2183        1         0.0728


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8978      0.5005        3.2183        0.0728
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.454       0.920       6.545


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      86
                                      16:53 Monday, December 4, 2017

------------------------------ i=-24 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.867         27.389          8.239
       SC                28.867         28.384          9.234
       -2 Log L          28.867         25.389          6.239


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4783        1         0.0622
      Score                    3.3879        1         0.0657
      Wald                     3.2020        1         0.0735


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8938      0.4995        3.2020        0.0735
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.444       0.918       6.507


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      87
                                      16:53 Monday, December 4, 2017

------------------------------ i=-23 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.775         27.312          8.162
       SC                28.775         28.308          9.158
       -2 Log L          28.775         25.312          6.162


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4628        1         0.0628
      Score                    3.3723        1         0.0663
      Wald                     3.1864        1         0.0743


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8900      0.4986        3.1864        0.0743
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.435       0.916       6.470


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      88
                                      16:53 Monday, December 4, 2017

------------------------------ i=-22 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.686         27.238          8.088
       SC                28.686         28.234          9.084
       -2 Log L          28.686         25.238          6.088


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4481        1         0.0633
      Score                    3.3574        1         0.0669
      Wald                     3.1715        1         0.0749


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8863      0.4977        3.1715        0.0749
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.426       0.915       6.435


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      89
                                      16:53 Monday, December 4, 2017

------------------------------ i=-21 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.601         27.167          8.018
       SC                28.601         28.163          9.013
       -2 Log L          28.601         25.167          6.018


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4340        1         0.0639
      Score                    3.3432        1         0.0675
      Wald                     3.1574        1         0.0756


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8828      0.4968        3.1574        0.0756
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.418       0.913       6.402


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      90
                                      16:53 Monday, December 4, 2017

------------------------------ i=-20 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.521         27.100          7.950
       SC                28.521         28.096          8.946
       -2 Log L          28.521         25.100          5.950


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4206        1         0.0644
      Score                    3.3297        1         0.0680
      Wald                     3.1439        1         0.0762


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8795      0.4960        3.1439        0.0762
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.410       0.911       6.371


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      91
                                      16:53 Monday, December 4, 2017

------------------------------ i=-19 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.444         27.036          7.886
       SC                28.444         28.031          8.881
       -2 Log L          28.444         25.036          5.886


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4079        1         0.0649
      Score                    3.3169        1         0.0686
      Wald                     3.1312        1         0.0768


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8764      0.4953        3.1312        0.0768
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.402       0.910       6.341


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      92
                                      16:53 Monday, December 4, 2017

------------------------------ i=-18 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.370         26.975          7.825
       SC                28.370         27.970          8.820
       -2 Log L          28.370         24.975          5.825


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3958        1         0.0654
      Score                    3.3048        1         0.0691
      Wald                     3.1191        1         0.0774


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8734      0.4945        3.1191        0.0774
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.395       0.909       6.313


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      93
                                      16:53 Monday, December 4, 2017

------------------------------ i=-17 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.301         26.917          7.767
       SC                28.301         27.912          8.762
       -2 Log L          28.301         24.917          5.767


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3845        1         0.0658
      Score                    3.2934        1         0.0696
      Wald                     3.1078        1         0.0779


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8705      0.4938        3.1078        0.0779
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.388       0.907       6.286


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      94
                                      16:53 Monday, December 4, 2017

------------------------------ i=-16 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.236         26.862          7.712
       SC                28.236         27.858          8.708
       -2 Log L          28.236         24.862          5.712


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3738        1         0.0662
      Score                    3.2826        1         0.0700
      Wald                     3.0971        1         0.0784


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8679      0.4931        3.0971        0.0784
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.382       0.906       6.261


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      95
                                      16:53 Monday, December 4, 2017

------------------------------ i=-15 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.174         26.810          7.661
       SC                28.174         27.806          8.656
       -2 Log L          28.174         24.810          5.661


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3637        1         0.0666
      Score                    3.2725        1         0.0704
      Wald                     3.0871        1         0.0789


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8654      0.4925        3.0871        0.0789
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.376       0.905       6.238


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      96
                                      16:53 Monday, December 4, 2017

------------------------------ i=-14 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.117         26.762          7.612
       SC                28.117         27.758          8.608
       -2 Log L          28.117         24.762          5.612


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3543        1         0.0670
      Score                    3.2631        1         0.0709
      Wald                     3.0777        1         0.0794


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8630      0.4919        3.0777        0.0794
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.370       0.904       6.217


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      97
                                      16:53 Monday, December 4, 2017

------------------------------ i=-13 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.063         26.717          7.567
       SC                28.063         27.713          8.563
       -2 Log L          28.063         24.717          5.567


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3456        1         0.0674
      Score                    3.2544        1         0.0712
      Wald                     3.0691        1         0.0798


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8609      0.4914        3.0691        0.0798
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.365       0.903       6.196


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      98
                                      16:53 Monday, December 4, 2017

------------------------------ i=-12 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.013         26.676          7.526
       SC                28.013         27.671          8.521
       -2 Log L          28.013         24.676          5.526


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3376        1         0.0677
      Score                    3.2463        1         0.0716
      Wald                     3.0610        1         0.0802


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8588      0.4909        3.0610        0.0802
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.360       0.902       6.178


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection      99
                                      16:53 Monday, December 4, 2017

------------------------------ i=-11 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.967         26.637          7.487
       SC                27.967         27.633          8.483
       -2 Log L          27.967         24.637          5.487


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3302        1         0.0680
      Score                    3.2389        1         0.0719
      Wald                     3.0537        1         0.0806


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8570      0.4904        3.0537        0.0806
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.356       0.901       6.161


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     100
                                      16:53 Monday, December 4, 2017

------------------------------ i=-10 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.926         26.602          7.452
       SC                27.926         27.598          8.448
       -2 Log L          27.926         24.602          5.452


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3234        1         0.0683
      Score                    3.2321        1         0.0722
      Wald                     3.0470        1         0.0809


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8553      0.4900        3.0470        0.0809
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.352       0.900       6.145


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     101
                                      16:53 Monday, December 4, 2017

------------------------------- i=-9 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.888         26.570          7.420
       SC                27.888         27.566          8.416
       -2 Log L          27.888         24.570          5.420


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3173        1         0.0686
      Score                    3.2260        1         0.0725
      Wald                     3.0409        1         0.0812


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8538      0.4896        3.0409        0.0812
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.349       0.900       6.131


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     102
                                      16:53 Monday, December 4, 2017

------------------------------- i=-8 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.854         26.542          7.392
       SC                27.854         27.538          8.388
       -2 Log L          27.854         24.542          5.392


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3118        1         0.0688
      Score                    3.2205        1         0.0727
      Wald                     3.0355        1         0.0815


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8524      0.4893        3.0355        0.0815
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.345       0.899       6.119


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     103
                                      16:53 Monday, December 4, 2017

------------------------------- i=-7 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.824         26.517          7.367
       SC                27.824         27.513          8.363
       -2 Log L          27.824         24.517          5.367


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3070        1         0.0690
      Score                    3.2157        1         0.0729
      Wald                     3.0308        1         0.0817


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8512      0.4890        3.0308        0.0817
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.343       0.898       6.108


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     104
                                      16:53 Monday, December 4, 2017

------------------------------- i=-6 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.798         26.495          7.345
       SC                27.798         27.491          8.341
       -2 Log L          27.798         24.495          5.345


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3028        1         0.0692
      Score                    3.2115        1         0.0731
      Wald                     3.0266        1         0.0819


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8502      0.4887        3.0266        0.0819
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.340       0.898       6.098


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     105
                                      16:53 Monday, December 4, 2017

------------------------------- i=-5 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.776         26.477          7.327
       SC                27.776         27.472          8.322
       -2 Log L          27.776         24.477          5.327


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.2993        1         0.0693
      Score                    3.2080        1         0.0733
      Wald                     3.0231        1         0.0821


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8493      0.4885        3.0231        0.0821
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.338       0.898       6.090


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     106
                                      16:53 Monday, December 4, 2017

------------------------------- i=-4 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.758         26.461          7.311
       SC                27.758         27.457          8.307
       -2 Log L          27.758         24.461          5.311


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.2964        1         0.0694
      Score                    3.2051        1         0.0734
      Wald                     3.0203        1         0.0822


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8486      0.4883        3.0203        0.0822
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.336       0.897       6.084


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     107
                                      16:53 Monday, December 4, 2017

------------------------------- i=-3 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.744         26.450          7.300
       SC                27.744         27.445          8.295
       -2 Log L          27.744         24.450          5.300


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.2942        1         0.0695
      Score                    3.2029        1         0.0735
      Wald                     3.0181        1         0.0823


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8480      0.4881        3.0181        0.0823
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.335       0.897       6.078


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     108
                                      16:53 Monday, December 4, 2017

------------------------------- i=-2 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.734         26.441          7.291
       SC                27.734         27.437          8.287
       -2 Log L          27.734         24.441          5.291


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.2926        1         0.0696
      Score                    3.2013        1         0.0736
      Wald                     3.0165        1         0.0824


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8476      0.4880        3.0165        0.0824
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.334       0.897       6.075


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     109
                                      16:53 Monday, December 4, 2017

------------------------------- i=-1 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.728         26.436          7.286
       SC                27.728         27.432          8.282
       -2 Log L          27.728         24.436          5.286


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.2916        1         0.0696
      Score                    3.2003        1         0.0736
      Wald                     3.0156        1         0.0825


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8474      0.4880        3.0156        0.0825
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.334       0.897       6.073


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     110
                                      16:53 Monday, December 4, 2017

------------------------------- i=0 --------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.726         26.435          7.285
       SC                27.726         27.430          8.280
       -2 Log L          27.726         24.435          5.285


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.2913        1         0.0696
      Score                    3.2000        1         0.0736
      Wald                     3.0152        1         0.0825


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8473      0.4880        3.0152        0.0825
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.333       0.897       6.072


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     111
                                      16:53 Monday, December 4, 2017

------------------------------- i=1 --------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.728         26.436          7.286
       SC                27.728         27.432          8.282
       -2 Log L          27.728         24.436          5.286


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.2916        1         0.0696
      Score                    3.2003        1         0.0736
      Wald                     3.0156        1         0.0825


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8474      0.4880        3.0156        0.0825
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.334       0.897       6.073


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     112
                                      16:53 Monday, December 4, 2017

------------------------------- i=2 --------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.734         26.441          7.291
       SC                27.734         27.437          8.287
       -2 Log L          27.734         24.441          5.291


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.2926        1         0.0696
      Score                    3.2013        1         0.0736
      Wald                     3.0165        1         0.0824


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8476      0.4880        3.0165        0.0824
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.334       0.897       6.075


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     113
                                      16:53 Monday, December 4, 2017

------------------------------- i=3 --------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.744         26.450          7.300
       SC                27.744         27.445          8.295
       -2 Log L          27.744         24.450          5.300


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.2942        1         0.0695
      Score                    3.2029        1         0.0735
      Wald                     3.0181        1         0.0823


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8480      0.4881        3.0181        0.0823
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.335       0.897       6.078


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     114
                                      16:53 Monday, December 4, 2017

------------------------------- i=4 --------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.758         26.461          7.311
       SC                27.758         27.457          8.307
       -2 Log L          27.758         24.461          5.311


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.2964        1         0.0694
      Score                    3.2051        1         0.0734
      Wald                     3.0203        1         0.0822


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8486      0.4883        3.0203        0.0822
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.336       0.897       6.084


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     115
                                      16:53 Monday, December 4, 2017

------------------------------- i=5 --------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.776         26.477          7.327
       SC                27.776         27.472          8.322
       -2 Log L          27.776         24.477          5.327


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.2993        1         0.0693
      Score                    3.2080        1         0.0733
      Wald                     3.0231        1         0.0821


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8493      0.4885        3.0231        0.0821
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.338       0.898       6.090


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     116
                                      16:53 Monday, December 4, 2017

------------------------------- i=6 --------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.798         26.495          7.345
       SC                27.798         27.491          8.341
       -2 Log L          27.798         24.495          5.345


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3028        1         0.0692
      Score                    3.2115        1         0.0731
      Wald                     3.0266        1         0.0819


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8502      0.4887        3.0266        0.0819
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.340       0.898       6.098


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     117
                                      16:53 Monday, December 4, 2017

------------------------------- i=7 --------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.824         26.517          7.367
       SC                27.824         27.513          8.363
       -2 Log L          27.824         24.517          5.367


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3070        1         0.0690
      Score                    3.2157        1         0.0729
      Wald                     3.0308        1         0.0817


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8512      0.4890        3.0308        0.0817
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.343       0.898       6.108


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     118
                                      16:53 Monday, December 4, 2017

------------------------------- i=8 --------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.854         26.542          7.392
       SC                27.854         27.538          8.388
       -2 Log L          27.854         24.542          5.392


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3118        1         0.0688
      Score                    3.2205        1         0.0727
      Wald                     3.0355        1         0.0815


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8524      0.4893        3.0355        0.0815
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.345       0.899       6.119


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     119
                                      16:53 Monday, December 4, 2017

------------------------------- i=9 --------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.888         26.570          7.420
       SC                27.888         27.566          8.416
       -2 Log L          27.888         24.570          5.420


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3173        1         0.0686
      Score                    3.2260        1         0.0725
      Wald                     3.0409        1         0.0812


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8538      0.4896        3.0409        0.0812
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.349       0.900       6.131


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     120
                                      16:53 Monday, December 4, 2017

------------------------------- i=10 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.926         26.602          7.452
       SC                27.926         27.598          8.448
       -2 Log L          27.926         24.602          5.452


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3234        1         0.0683
      Score                    3.2321        1         0.0722
      Wald                     3.0470        1         0.0809


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8553      0.4900        3.0470        0.0809
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.352       0.900       6.145


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     121
                                      16:53 Monday, December 4, 2017

------------------------------- i=11 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               27.967         26.637          7.487
       SC                27.967         27.633          8.483
       -2 Log L          27.967         24.637          5.487


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3302        1         0.0680
      Score                    3.2389        1         0.0719
      Wald                     3.0537        1         0.0806


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8570      0.4904        3.0537        0.0806
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.356       0.901       6.161


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     122
                                      16:53 Monday, December 4, 2017

------------------------------- i=12 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.013         26.676          7.526
       SC                28.013         27.671          8.521
       -2 Log L          28.013         24.676          5.526


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3376        1         0.0677
      Score                    3.2463        1         0.0716
      Wald                     3.0610        1         0.0802


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8588      0.4909        3.0610        0.0802
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.360       0.902       6.178


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     123
                                      16:53 Monday, December 4, 2017

------------------------------- i=13 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.063         26.717          7.567
       SC                28.063         27.713          8.563
       -2 Log L          28.063         24.717          5.567


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3456        1         0.0674
      Score                    3.2544        1         0.0712
      Wald                     3.0691        1         0.0798


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8609      0.4914        3.0691        0.0798
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.365       0.903       6.196


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     124
                                      16:53 Monday, December 4, 2017

------------------------------- i=14 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.117         26.762          7.612
       SC                28.117         27.758          8.608
       -2 Log L          28.117         24.762          5.612


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3543        1         0.0670
      Score                    3.2631        1         0.0709
      Wald                     3.0777        1         0.0794


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8630      0.4919        3.0777        0.0794
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.370       0.904       6.217


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     125
                                      16:53 Monday, December 4, 2017

------------------------------- i=15 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.174         26.810          7.661
       SC                28.174         27.806          8.656
       -2 Log L          28.174         24.810          5.661


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3637        1         0.0666
      Score                    3.2725        1         0.0704
      Wald                     3.0871        1         0.0789


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8654      0.4925        3.0871        0.0789
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.376       0.905       6.238


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     126
                                      16:53 Monday, December 4, 2017

------------------------------- i=16 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.236         26.862          7.712
       SC                28.236         27.858          8.708
       -2 Log L          28.236         24.862          5.712


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3738        1         0.0662
      Score                    3.2826        1         0.0700
      Wald                     3.0971        1         0.0784


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8679      0.4931        3.0971        0.0784
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.382       0.906       6.261


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     127
                                      16:53 Monday, December 4, 2017

------------------------------- i=17 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.301         26.917          7.767
       SC                28.301         27.912          8.762
       -2 Log L          28.301         24.917          5.767


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3845        1         0.0658
      Score                    3.2934        1         0.0696
      Wald                     3.1078        1         0.0779


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8705      0.4938        3.1078        0.0779
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.388       0.907       6.286


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     128
                                      16:53 Monday, December 4, 2017

------------------------------- i=18 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.370         26.975          7.825
       SC                28.370         27.970          8.820
       -2 Log L          28.370         24.975          5.825


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.3958        1         0.0654
      Score                    3.3048        1         0.0691
      Wald                     3.1191        1         0.0774


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8734      0.4945        3.1191        0.0774
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.395       0.909       6.313


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     129
                                      16:53 Monday, December 4, 2017

------------------------------- i=19 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.444         27.036          7.886
       SC                28.444         28.031          8.881
       -2 Log L          28.444         25.036          5.886


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4079        1         0.0649
      Score                    3.3169        1         0.0686
      Wald                     3.1312        1         0.0768


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8764      0.4953        3.1312        0.0768
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.402       0.910       6.341


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     130
                                      16:53 Monday, December 4, 2017

------------------------------- i=20 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.521         27.100          7.950
       SC                28.521         28.096          8.946
       -2 Log L          28.521         25.100          5.950


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4206        1         0.0644
      Score                    3.3297        1         0.0680
      Wald                     3.1439        1         0.0762


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8795      0.4960        3.1439        0.0762
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.410       0.911       6.371


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     131
                                      16:53 Monday, December 4, 2017

------------------------------- i=21 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.601         27.167          8.018
       SC                28.601         28.163          9.013
       -2 Log L          28.601         25.167          6.018


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4340        1         0.0639
      Score                    3.3432        1         0.0675
      Wald                     3.1574        1         0.0756


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8828      0.4968        3.1574        0.0756
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.418       0.913       6.402


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     132
                                      16:53 Monday, December 4, 2017

------------------------------- i=22 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.686         27.238          8.088
       SC                28.686         28.234          9.084
       -2 Log L          28.686         25.238          6.088


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4481        1         0.0633
      Score                    3.3574        1         0.0669
      Wald                     3.1715        1         0.0749


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8863      0.4977        3.1715        0.0749
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.426       0.915       6.435


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     133
                                      16:53 Monday, December 4, 2017

------------------------------- i=23 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.775         27.312          8.162
       SC                28.775         28.308          9.158
       -2 Log L          28.775         25.312          6.162


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4628        1         0.0628
      Score                    3.3723        1         0.0663
      Wald                     3.1864        1         0.0743


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8900      0.4986        3.1864        0.0743
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.435       0.916       6.470


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     134
                                      16:53 Monday, December 4, 2017

------------------------------- i=24 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.867         27.389          8.239
       SC                28.867         28.384          9.234
       -2 Log L          28.867         25.389          6.239


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4783        1         0.0622
      Score                    3.3879        1         0.0657
      Wald                     3.2020        1         0.0735


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8938      0.4995        3.2020        0.0735
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.444       0.918       6.507


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     135
                                      16:53 Monday, December 4, 2017

------------------------------- i=25 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               28.963         27.469          8.319
       SC                28.963         28.464          9.314
       -2 Log L          28.963         25.469          6.319


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4944        1         0.0616
      Score                    3.4042        1         0.0650
      Wald                     3.2183        1         0.0728


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.8978      0.5005        3.2183        0.0728
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.454       0.920       6.545


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     136
                                      16:53 Monday, December 4, 2017

------------------------------- i=26 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.063         27.552          8.402
       SC                29.063         28.547          9.397
       -2 Log L          29.063         25.552          6.402


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.5113        1         0.0610
      Score                    3.4212        1         0.0644
      Wald                     3.2354        1         0.0721


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9020      0.5015        3.2354        0.0721
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.464       0.922       6.585


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     137
                                      16:53 Monday, December 4, 2017

------------------------------- i=27 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.167         27.638          8.488
       SC                29.167         28.633          9.483
       -2 Log L          29.167         25.638          6.488


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.5288        1         0.0603
      Score                    3.4390        1         0.0637
      Wald                     3.2532        1         0.0713


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9063      0.5025        3.2532        0.0713
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.475       0.924       6.627


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     138
                                      16:53 Monday, December 4, 2017

------------------------------- i=28 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.274         27.727          8.577
       SC                29.274         28.722          9.572
       -2 Log L          29.274         25.727          6.577


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.5471        1         0.0596
      Score                    3.4575        1         0.0630
      Wald                     3.2718        1         0.0705


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9108      0.5036        3.2718        0.0705
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.486       0.927       6.671


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     139
                                      16:53 Monday, December 4, 2017

------------------------------- i=29 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.385         27.819          8.669
       SC                29.385         28.814          9.665
       -2 Log L          29.385         25.819          6.669


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.5661        1         0.0590
      Score                    3.4767        1         0.0622
      Wald                     3.2911        1         0.0697


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9155      0.5046        3.2911        0.0697
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.498       0.929       6.717


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     140
                                      16:53 Monday, December 4, 2017

------------------------------- i=30 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.500         27.914          8.764
       SC                29.500         28.909          9.760
       -2 Log L          29.500         25.914          6.764


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.5858        1         0.0583
      Score                    3.4967        1         0.0615
      Wald                     3.3112        1         0.0688


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9203      0.5058        3.3112        0.0688
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.510       0.932       6.764


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     141
                                      16:53 Monday, December 4, 2017

------------------------------- i=31 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.618         28.012          8.862
       SC                29.618         29.007          9.857
       -2 Log L          29.618         26.012          6.862


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.6062        1         0.0576
      Score                    3.5175        1         0.0607
      Wald                     3.3321        1         0.0679


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9254      0.5069        3.3321        0.0679
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.523       0.934       6.814


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     142
                                      16:53 Monday, December 4, 2017

------------------------------- i=32 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.740         28.113          8.963
       SC                29.740         29.108          9.958
       -2 Log L          29.740         26.113          6.963


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.6273        1         0.0568
      Score                    3.5390        1         0.0599
      Wald                     3.3538        1         0.0670


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9306      0.5081        3.3538        0.0670
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.536       0.937       6.865


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     143
                                      16:53 Monday, December 4, 2017

------------------------------- i=33 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.865         28.216          9.066
       SC                29.865         29.212         10.062
       -2 Log L          29.865         26.216          7.066


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.6492        1         0.0561
      Score                    3.5613        1         0.0591
      Wald                     3.3764        1         0.0661


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9359      0.5094        3.3764        0.0661
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.550       0.940       6.919


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     144
                                      16:53 Monday, December 4, 2017

------------------------------- i=34 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               29.995         28.323          9.173
       SC                29.995         29.319         10.169
       -2 Log L          29.995         26.323          7.173


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.6718        1         0.0553
      Score                    3.5844        1         0.0583
      Wald                     3.3997        1         0.0652


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9415      0.5106        3.3997        0.0652
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.564       0.942       6.974


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     145
                                      16:53 Monday, December 4, 2017

------------------------------- i=35 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               30.127         28.432          9.282
       SC                30.127         29.428         10.278
       -2 Log L          30.127         26.432          7.282


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.6952        1         0.0546
      Score                    3.6083        1         0.0575
      Wald                     3.4239        1         0.0643


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9472      0.5119        3.4239        0.0643
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.578       0.945       7.032


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     146
                                      16:53 Monday, December 4, 2017

------------------------------- i=36 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               30.264         28.544          9.394
       SC                30.264         29.540         10.390
       -2 Log L          30.264         26.544          7.394


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.7193        1         0.0538
      Score                    3.6329        1         0.0566
      Wald                     3.4490        1         0.0633


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9531      0.5132        3.4490        0.0633
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.594       0.949       7.092


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     147
                                      16:53 Monday, December 4, 2017

------------------------------- i=37 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               30.404         28.659          9.509
       SC                30.404         29.655         10.505
       -2 Log L          30.404         26.659          7.509


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.7442        1         0.0530
      Score                    3.6584        1         0.0558
      Wald                     3.4749        1         0.0623


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9592      0.5145        3.4749        0.0623
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.610       0.952       7.154


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     148
                                      16:53 Monday, December 4, 2017

------------------------------- i=38 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               30.547         28.777          9.627
       SC                30.547         29.773         10.623
       -2 Log L          30.547         26.777          7.627


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.7698        1         0.0522
      Score                    3.6848        1         0.0549
      Wald                     3.5016        1         0.0613


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9654      0.5159        3.5016        0.0613
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.626       0.955       7.218


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     149
                                      16:53 Monday, December 4, 2017

------------------------------- i=39 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               30.694         28.898          9.748
       SC                30.694         29.893         10.743
       -2 Log L          30.694         26.898          7.748


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.7962        1         0.0514
      Score                    3.7119        1         0.0540
      Wald                     3.5293        1         0.0603


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9718      0.5173        3.5293        0.0603
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.643       0.959       7.284


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     150
                                      16:53 Monday, December 4, 2017

------------------------------- i=40 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               30.844         29.021          9.871
       SC                30.844         30.016         10.866
       -2 Log L          30.844         27.021          7.871


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.8234        1         0.0505
      Score                    3.7399        1         0.0531
      Wald                     3.5579        1         0.0593


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9784      0.5187        3.5579        0.0593
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.660       0.962       7.353


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     151
                                      16:53 Monday, December 4, 2017

------------------------------- i=41 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               30.998         29.146          9.996
       SC                30.998         30.142         10.992
       -2 Log L          30.998         27.146          7.996


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.8514        1         0.0497
      Score                    3.7687        1         0.0522
      Wald                     3.5874        1         0.0582


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9852      0.5202        3.5874        0.0582
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.678       0.966       7.424


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     152
                                      16:53 Monday, December 4, 2017

------------------------------- i=42 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               31.155         29.275         10.125
       SC                31.155         30.270         11.120
       -2 Log L          31.155         27.275          8.125


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.8801        1         0.0489
      Score                    3.7985        1         0.0513
      Wald                     3.6178        1         0.0572


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9922      0.5216        3.6178        0.0572
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.697       0.970       7.498


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     153
                                      16:53 Monday, December 4, 2017

------------------------------- i=43 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               31.315         29.406         10.256
       SC                31.315         30.401         11.251
       -2 Log L          31.315         27.406          8.256


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.9097        1         0.0480
      Score                    3.8291        1         0.0504
      Wald                     3.6492        1         0.0561


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      0.9993      0.5231        3.6492        0.0561
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.716       0.974       7.574


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     154
                                      16:53 Monday, December 4, 2017

------------------------------- i=44 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               31.479         29.539         10.389
       SC                31.479         30.535         11.385
       -2 Log L          31.479         27.539          8.389


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.9401        1         0.0471
      Score                    3.8605        1         0.0494
      Wald                     3.6816        1         0.0550


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0067      0.5246        3.6816        0.0550
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.736       0.979       7.652


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     155
                                      16:53 Monday, December 4, 2017

------------------------------- i=45 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               31.646         29.675         10.525
       SC                31.646         30.671         11.521
       -2 Log L          31.646         27.675          8.525


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.9712        1         0.0463
      Score                    3.8929        1         0.0485
      Wald                     3.7149        1         0.0539


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0142      0.5262        3.7149        0.0539
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.757       0.983       7.733


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     156
                                      16:53 Monday, December 4, 2017

------------------------------- i=46 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               31.817         29.813         10.663
       SC                31.817         30.809         11.659
       -2 Log L          31.817         27.813          8.663


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.0032        1         0.0454
      Score                    3.9262        1         0.0475
      Wald                     3.7493        1         0.0528


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0219      0.5277        3.7493        0.0528
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.778       0.988       7.816


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     157
                                      16:53 Monday, December 4, 2017

------------------------------- i=47 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               31.990         29.954         10.804
       SC                31.990         30.950         11.800
       -2 Log L          31.990         27.954          8.804


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.0360        1         0.0445
      Score                    3.9605        1         0.0466
      Wald                     3.7846        1         0.0517


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0297      0.5293        3.7846        0.0517
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.800       0.992       7.902


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     158
                                      16:53 Monday, December 4, 2017

------------------------------- i=48 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               32.167         30.097         10.948
       SC                32.167         31.093         11.943
       -2 Log L          32.167         28.097          8.948


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.0696        1         0.0437
      Score                    3.9957        1         0.0456
      Wald                     3.8211        1         0.0506


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0378      0.5309        3.8211        0.0506
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.823       0.997       7.991


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     159
                                      16:53 Monday, December 4, 2017

------------------------------- i=49 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               32.347         30.243         11.093
       SC                32.347         31.239         12.089
       -2 Log L          32.347         28.243          9.093


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.1041        1         0.0428
      Score                    4.0318        1         0.0446
      Wald                     3.8585        1         0.0495


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0460      0.5325        3.8585        0.0495
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.846       1.002       8.083


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     160
                                      16:53 Monday, December 4, 2017

------------------------------- i=50 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               32.530         30.391         11.241
       SC                32.530         31.387         12.237
       -2 Log L          32.530         28.391          9.241


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.1394        1         0.0419
      Score                    4.0689        1         0.0437
      Wald                     3.8971        1         0.0484


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0544      0.5341        3.8971        0.0484
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.870       1.008       8.177


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     161
                                      16:53 Monday, December 4, 2017

------------------------------- i=51 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               32.717         30.541         11.391
       SC                32.717         31.537         12.387
       -2 Log L          32.717         28.541          9.391


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.1756        1         0.0410
      Score                    4.1070        1         0.0427
      Wald                     3.9367        1         0.0472


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0630      0.5358        3.9367        0.0472
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.895       1.013       8.274


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     162
                                      16:53 Monday, December 4, 2017

------------------------------- i=52 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               32.906         30.694         11.544
       SC                32.906         31.690         12.540
       -2 Log L          32.906         28.694          9.544


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.2126        1         0.0401
      Score                    4.1461        1         0.0417
      Wald                     3.9775        1         0.0461


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0718      0.5374        3.9775        0.0461
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.921       1.019       8.374


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     163
                                      16:53 Monday, December 4, 2017

------------------------------- i=53 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               33.099         30.849         11.699
       SC                33.099         31.844         12.694
       -2 Log L          33.099         28.849          9.699


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.2504        1         0.0392
      Score                    4.1863        1         0.0408
      Wald                     4.0194        1         0.0450


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0808      0.5391        4.0194        0.0450
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.947       1.024       8.477


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     164
                                      16:53 Monday, December 4, 2017

------------------------------- i=54 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               33.295         31.006         11.856
       SC                33.295         32.001         12.851
       -2 Log L          33.295         29.006          9.856


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.2892        1         0.0384
      Score                    4.2274        1         0.0398
      Wald                     4.0624        1         0.0438


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0899      0.5408        4.0624        0.0438
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.974       1.031       8.583


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     165
                                      16:53 Monday, December 4, 2017

------------------------------- i=55 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               33.493         31.165         12.015
       SC                33.493         32.160         13.010
       -2 Log L          33.493         29.165         10.015


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.3288        1         0.0375
      Score                    4.2696        1         0.0388
      Wald                     4.1067        1         0.0427


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.0993      0.5424        4.1067        0.0427
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.002       1.037       8.692


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     166
                                      16:53 Monday, December 4, 2017

------------------------------- i=56 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               33.695         31.326         12.176
       SC                33.695         32.322         13.172
       -2 Log L          33.695         29.326         10.176


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.3693        1         0.0366
      Score                    4.3129        1         0.0378
      Wald                     4.1521        1         0.0416


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1088      0.5441        4.1521        0.0416
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.031       1.043       8.804


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     167
                                      16:53 Monday, December 4, 2017

------------------------------- i=57 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               33.900         31.489         12.339
       SC                33.900         32.485         13.335
       -2 Log L          33.900         29.489         10.339


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.4107        1         0.0357
      Score                    4.3573        1         0.0369
      Wald                     4.1988        1         0.0405


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1185      0.5458        4.1988        0.0405
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.060       1.050       8.920


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     168
                                      16:53 Monday, December 4, 2017

------------------------------- i=58 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               34.107         31.654         12.504
       SC                34.107         32.650         13.500
       -2 Log L          34.107         29.654         10.504


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.4530        1         0.0348
      Score                    4.4027        1         0.0359
      Wald                     4.2467        1         0.0393


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1284      0.5475        4.2467        0.0393
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.091       1.057       9.039


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     169
                                      16:53 Monday, December 4, 2017

------------------------------- i=59 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               34.318         31.822         12.672
       SC                34.318         32.817         13.667
       -2 Log L          34.318         29.822         10.672


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.4962        1         0.0340
      Score                    4.4493        1         0.0349
      Wald                     4.2959        1         0.0382


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1384      0.5493        4.2959        0.0382
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.122       1.064       9.161


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     170
                                      16:53 Monday, December 4, 2017

------------------------------- i=60 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               34.531         31.991         12.841
       SC                34.531         32.987         13.837
       -2 Log L          34.531         29.991         10.841


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.5403        1         0.0331
      Score                    4.4970        1         0.0340
      Wald                     4.3463        1         0.0371


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1487      0.5510        4.3463        0.0371
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.154       1.071       9.286


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     171
                                      16:53 Monday, December 4, 2017

------------------------------- i=61 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               34.748         32.162         13.012
       SC                34.748         33.158         14.008
       -2 Log L          34.748         30.162         11.012


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.5853        1         0.0322
      Score                    4.5459        1         0.0330
      Wald                     4.3981        1         0.0360


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1591      0.5527        4.3981        0.0360
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.187       1.079       9.416


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     172
                                      16:53 Monday, December 4, 2017

------------------------------- i=62 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               34.967         32.335         13.185
       SC                34.967         33.331         14.181
       -2 Log L          34.967         30.335         11.185


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.6312        1         0.0314
      Score                    4.5960        1         0.0320
      Wald                     4.4512        1         0.0349


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1697      0.5544        4.4512        0.0349
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.221       1.087       9.548


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     173
                                      16:53 Monday, December 4, 2017

------------------------------- i=63 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               35.188         32.510         13.360
       SC                35.188         33.506         14.356
       -2 Log L          35.188         30.510         11.360


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.6781        1         0.0305
      Score                    4.6473        1         0.0311
      Wald                     4.5057        1         0.0338


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1805      0.5561        4.5057        0.0338
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.256       1.095       9.684


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     174
                                      16:53 Monday, December 4, 2017

------------------------------- i=64 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               35.413         32.687         13.537
       SC                35.413         33.683         14.533
       -2 Log L          35.413         30.687         11.537


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.7259        1         0.0297
      Score                    4.6997        1         0.0302
      Wald                     4.5616        1         0.0327


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.1915      0.5579        4.5616        0.0327
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.292       1.103       9.824


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     175
                                      16:53 Monday, December 4, 2017

------------------------------- i=65 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               35.640         32.866         13.716
       SC                35.640         33.861         14.711
       -2 Log L          35.640         30.866         11.716


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.7746        1         0.0289
      Score                    4.7535        1         0.0292
      Wald                     4.6188        1         0.0316


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2026      0.5596        4.6188        0.0316
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.329       1.112       9.968


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     176
                                      16:53 Monday, December 4, 2017

------------------------------- i=66 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               35.870         33.046         13.896
       SC                35.870         34.042         14.892
       -2 Log L          35.870         31.046         11.896


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.8243        1         0.0281
      Score                    4.8084        1         0.0283
      Wald                     4.6775        1         0.0306


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2139      0.5613        4.6775        0.0306
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.367       1.121      10.115


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     177
                                      16:53 Monday, December 4, 2017

------------------------------- i=67 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               36.103         33.228         14.078
       SC                36.103         34.224         15.074
       -2 Log L          36.103         31.228         12.078


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.8749        1         0.0272
      Score                    4.8647        1         0.0274
      Wald                     4.7377        1         0.0295


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2255      0.5630        4.7377        0.0295
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.406       1.130      10.267


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     178
                                      16:53 Monday, December 4, 2017

------------------------------- i=68 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               36.338         33.412         14.262
       SC                36.338         34.408         15.258
       -2 Log L          36.338         31.412         12.262


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.9265        1         0.0264
      Score                    4.9223        1         0.0265
      Wald                     4.7993        1         0.0285


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2371      0.5647        4.7993        0.0285
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.446       1.139      10.422


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     179
                                      16:53 Monday, December 4, 2017

------------------------------- i=69 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               36.576         33.597         14.447
       SC                36.576         34.593         15.443
       -2 Log L          36.576         31.597         12.447


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.9791        1         0.0257
      Score                    4.9812        1         0.0256
      Wald                     4.8624        1         0.0274


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2490      0.5664        4.8624        0.0274
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.487       1.149      10.582


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     180
                                      16:53 Monday, December 4, 2017

------------------------------- i=70 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               36.817         33.784         14.634
       SC                36.817         34.780         15.630
       -2 Log L          36.817         31.784         12.634


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.0326        1         0.0249
      Score                    5.0414        1         0.0247
      Wald                     4.9271        1         0.0264


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2610      0.5681        4.9271        0.0264
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.529       1.159      10.746


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     181
                                      16:53 Monday, December 4, 2017

------------------------------- i=71 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               37.060         33.973         14.823
       SC                37.060         34.968         15.818
       -2 Log L          37.060         31.973         12.823


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.0871        1         0.0241
      Score                    5.1031        1         0.0239
      Wald                     4.9933        1         0.0254


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2732      0.5698        4.9933        0.0254
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.572       1.169      10.913


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     182
                                      16:53 Monday, December 4, 2017

------------------------------- i=72 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               37.305         34.163         15.013
       SC                37.305         35.158         16.008
       -2 Log L          37.305         32.163         13.013


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.1425        1         0.0233
      Score                    5.1661        1         0.0230
      Wald                     5.0611        1         0.0245


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2856      0.5715        5.0611        0.0245
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.617       1.180      11.086


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     183
                                      16:53 Monday, December 4, 2017

------------------------------- i=73 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               37.553         34.354         15.204
       SC                37.553         35.350         16.200
       -2 Log L          37.553         32.354         13.204


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.1990        1         0.0226
      Score                    5.2306        1         0.0222
      Wald                     5.1305        1         0.0235


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.2982      0.5731        5.1305        0.0235
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.663       1.191      11.262


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     184
                                      16:53 Monday, December 4, 2017

------------------------------- i=74 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               37.804         34.547         15.397
       SC                37.804         35.543         16.393
       -2 Log L          37.804         32.547         13.397


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.2564        1         0.0219
      Score                    5.2965        1         0.0214
      Wald                     5.2015        1         0.0226


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.3109      0.5748        5.2015        0.0226
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.709       1.202      11.443


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     185
                                      16:53 Monday, December 4, 2017

------------------------------- i=75 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               38.057         34.742         15.592
       SC                38.057         35.737         16.587
       -2 Log L          38.057         32.742         13.592


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.3148        1         0.0211
      Score                    5.3639        1         0.0206
      Wald                     5.2732        1         0.0217


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.3236      0.5764        5.2732        0.0217
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.757       1.214      11.627


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     186
                                      16:53 Monday, December 4, 2017

------------------------------- i=76 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               38.312         34.938         15.788
       SC                38.312         35.933         16.783
       -2 Log L          38.312         32.938         13.788


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.3742        1         0.0204
      Score                    5.4327        1         0.0198
      Wald                     5.3486        1         0.0207


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.3368      0.5780        5.3486        0.0207
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.807       1.226      11.819


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     187
                                      16:53 Monday, December 4, 2017

------------------------------- i=77 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               38.569         35.135         15.985
       SC                38.569         36.131         16.981
       -2 Log L          38.569         33.135         13.985


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.4346        1         0.0197
      Score                    5.5032        1         0.0190
      Wald                     5.4246        1         0.0199


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.3500      0.5796        5.4246        0.0199
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.858       1.239      12.014


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     188
                                      16:53 Monday, December 4, 2017

------------------------------- i=78 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               38.829         35.333         16.183
       SC                38.829         36.329         17.179
       -2 Log L          38.829         33.333         14.183


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.4960        1         0.0191
      Score                    5.5752        1         0.0182
      Wald                     5.5024        1         0.0190


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.3634      0.5812        5.5024        0.0190
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.909       1.251      12.214


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     189
                                      16:53 Monday, December 4, 2017

------------------------------- i=79 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               39.092         35.533         16.383
       SC                39.092         36.529         17.379
       -2 Log L          39.092         33.533         14.383


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.5584        1         0.0184
      Score                    5.6487        1         0.0175
      Wald                     5.5819        1         0.0181


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.3769      0.5828        5.5819        0.0181
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.963       1.264      12.419


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     190
                                      16:53 Monday, December 4, 2017

------------------------------- i=80 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               39.356         35.734         16.584
       SC                39.356         36.730         17.580
       -2 Log L          39.356         33.734         14.584


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.6218        1         0.0177
      Score                    5.7239        1         0.0167
      Wald                     5.6632        1         0.0173


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.3906      0.5844        5.6632        0.0173
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.017       1.278      12.629


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     191
                                      16:53 Monday, December 4, 2017

------------------------------- i=81 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               39.623         35.937         16.787
       SC                39.623         36.932         17.782
       -2 Log L          39.623         33.937         14.787


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.6862        1         0.0171
      Score                    5.8008        1         0.0160
      Wald                     5.7463        1         0.0165


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.4045      0.5859        5.7463        0.0165
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.073       1.292      12.844


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     192
                                      16:53 Monday, December 4, 2017

------------------------------- i=82 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               39.892         36.140         16.990
       SC                39.892         37.136         17.986
       -2 Log L          39.892         34.140         14.990


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.7516        1         0.0165
      Score                    5.8793        1         0.0153
      Wald                     5.8312        1         0.0157


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.4185      0.5874        5.8312        0.0157
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.131       1.306      13.064


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     193
                                      16:53 Monday, December 4, 2017

------------------------------- i=83 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               40.163         36.345         17.195
       SC                40.163         37.341         18.191
       -2 Log L          40.163         34.345         15.195


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.8180        1         0.0159
      Score                    5.9596        1         0.0146
      Wald                     5.9179        1         0.0150


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.4327      0.5889        5.9179        0.0150
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.190       1.321      13.289


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     194
                                      16:53 Monday, December 4, 2017

------------------------------- i=84 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               40.436         36.551         17.401
       SC                40.436         37.546         18.396
       -2 Log L          40.436         34.551         15.401


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.8854        1         0.0153
      Score                    6.0415        1         0.0140
      Wald                     6.0065        1         0.0143


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.4470      0.5904        6.0065        0.0143
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.250       1.336      13.520


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     195
                                      16:53 Monday, December 4, 2017

------------------------------- i=85 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               40.711         36.758         17.608
       SC                40.711         37.753         18.603
       -2 Log L          40.711         34.758         15.608


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.9538        1         0.0147
      Score                    6.1253        1         0.0133
      Wald                     6.0970        1         0.0135


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.4614      0.5919        6.0970        0.0135
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.312       1.352      13.756


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     196
                                      16:53 Monday, December 4, 2017

------------------------------- i=86 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               40.989         36.966         17.816
       SC                40.989         37.961         18.811
       -2 Log L          40.989         34.966         15.816


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.0233        1         0.0141
      Score                    6.2109        1         0.0127
      Wald                     6.1895        1         0.0129


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.4760      0.5933        6.1895        0.0129
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.376       1.368      13.998


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     197
                                      16:53 Monday, December 4, 2017

------------------------------- i=87 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               41.268         37.175         18.025
       SC                41.268         38.170         19.020
       -2 Log L          41.268         35.175         16.025


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.0937        1         0.0136
      Score                    6.2983        1         0.0121
      Wald                     6.2838        1         0.0122


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.4908      0.5947        6.2838        0.0122
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.441       1.384      14.245


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     198
                                      16:53 Monday, December 4, 2017

------------------------------- i=88 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               41.550         37.385         18.235
       SC                41.550         38.381         19.231
       -2 Log L          41.550         35.385         16.235


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.1652        1         0.0130
      Score                    6.3876        1         0.0115
      Wald                     6.3801        1         0.0115


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.5057      0.5961        6.3801        0.0115
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.507       1.401      14.499


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     199
                                      16:53 Monday, December 4, 2017

------------------------------- i=89 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               41.834         37.596         18.446
       SC                41.834         38.592         19.442
       -2 Log L          41.834         35.596         16.446


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.2377        1         0.0125
      Score                    6.4788        1         0.0109
      Wald                     6.4784        1         0.0109


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.5207      0.5975        6.4784        0.0109
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.576       1.419      14.758


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     200
                                      16:53 Monday, December 4, 2017

------------------------------- i=90 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               42.119         37.808         18.658
       SC                42.119         38.804         19.654
       -2 Log L          42.119         35.808         16.658


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.3112        1         0.0120
      Score                    6.5720        1         0.0104
      Wald                     6.5786        1         0.0103


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.5359      0.5988        6.5786        0.0103
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.646       1.437      15.023


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     201
                                      16:53 Monday, December 4, 2017

------------------------------- i=91 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               42.407         38.021         18.871
       SC                42.407         39.017         19.867
       -2 Log L          42.407         36.021         16.871


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.3857        1         0.0115
      Score                    6.6671        1         0.0098
      Wald                     6.6809        1         0.0097


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.5512      0.6001        6.6809        0.0097
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.717       1.455      15.294


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     202
                                      16:53 Monday, December 4, 2017

------------------------------- i=92 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               42.696         38.235         19.085
       SC                42.696         39.230         20.081
       -2 Log L          42.696         36.235         17.085


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.4612        1         0.0110
      Score                    6.7643        1         0.0093
      Wald                     6.7852        1         0.0092


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.5667      0.6014        6.7852        0.0092
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.791       1.474      15.572


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     203
                                      16:53 Monday, December 4, 2017

------------------------------- i=93 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               42.987         38.450         19.300
       SC                42.987         39.445         20.295
       -2 Log L          42.987         36.450         17.300


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.5378        1         0.0106
      Score                    6.8635        1         0.0088
      Wald                     6.8916        1         0.0087


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.5822      0.6027        6.8916        0.0087
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.866       1.493      15.856


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     204
                                      16:53 Monday, December 4, 2017

------------------------------- i=94 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               43.280         38.665         19.515
       SC                43.280         39.661         20.511
       -2 Log L          43.280         36.665         17.515


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.6153        1         0.0101
      Score                    6.9649        1         0.0083
      Wald                     7.0001        1         0.0082


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.5980      0.6040        7.0001        0.0082
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.943       1.513      16.146


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     205
                                      16:53 Monday, December 4, 2017

------------------------------- i=95 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               43.575         38.882         19.732
       SC                43.575         39.877         20.727
       -2 Log L          43.575         36.882         17.732


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.6939        1         0.0097
      Score                    7.0684        1         0.0078
      Wald                     7.1106        1         0.0077


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.6138      0.6052        7.1106        0.0077
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            5.022       1.534      16.444


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     206
                                      16:53 Monday, December 4, 2017

------------------------------- i=96 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               43.872         39.099         19.949
       SC                43.872         40.095         20.945
       -2 Log L          43.872         37.099         17.949


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.7734        1         0.0093
      Score                    7.1741        1         0.0074
      Wald                     7.2233        1         0.0072


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.6297      0.6064        7.2233        0.0072
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            5.103       1.555      16.747


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     207
                                      16:53 Monday, December 4, 2017

------------------------------- i=97 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               44.171         39.317         20.167
       SC                44.171         40.313         21.163
       -2 Log L          44.171         37.317         18.167


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.8540        1         0.0088
      Score                    7.2820        1         0.0070
      Wald                     7.3382        1         0.0068


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.6458      0.6076        7.3382        0.0068
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            5.185       1.576      17.058


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     208
                                      16:53 Monday, December 4, 2017

------------------------------- i=98 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               44.471         39.536         20.386
       SC                44.471         40.531         21.381
       -2 Log L          44.471         37.536         18.386


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.9355        1         0.0084
      Score                    7.3921        1         0.0066
      Wald                     7.4552        1         0.0063


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.6620      0.6087        7.4552        0.0063
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            5.270       1.598      17.376


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     209
                                      16:53 Monday, December 4, 2017

------------------------------- i=99 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               44.773         39.755         20.605
       SC                44.773         40.751         21.601
       -2 Log L          44.773         37.755         18.605


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         7.0181        1         0.0081
      Score                    7.5046        1         0.0062
      Wald                     7.5744        1         0.0059


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.6783      0.6098        7.5744        0.0059
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            5.357       1.621      17.701


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
        Exact Tests for Assoc. betw. treatment and infection     210
                                      16:53 Monday, December 4, 2017

------------------------------ i=100 -------------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.BIGTRY     
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Offset Variable                o               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                        Model Fit Statistics
 
                                         With Covariates
                        Without            Log       Full Log
       Criterion     Covariates     Likelihood     Likelihood

       AIC               45.077         39.975         20.826
       SC                45.077         40.971         21.821
       -2 Log L          45.077         37.975         18.826


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         7.1016        1         0.0077
      Score                    7.6195        1         0.0058
      Wald                     7.6957        1         0.0055


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

x             1      1.6948      0.6109        7.6957        0.0055
o             0      1.0000           0         .             .    


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            5.445       1.644      18.033


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
                  P-value as a function of offset                211
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=1 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                1
                       2     Nonevent            19


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC               9.941         10.502          5.897
       SC               10.936         12.493          7.888
       -2 Log L          7.941          6.502          1.897


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         1.4389        1         0.2303
      Score                    1.0526        1         0.3049
      Wald                     0.0026        1         0.9595


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -7.6116       106.5        0.0051        0.9430
x             1      5.4143       106.5        0.0026        0.9595


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          224.604      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     52.6    Somers' D    0.526
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           47.4    Tau-a        0.053
         Pairs                    19    c            0.763
                  P-value as a function of offset                212
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=1 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.0000   1.0000   0.7500
                  Probability      0.5000   1.0000   0.7500
                  P-value as a function of offset                213
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=2 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                2
                       2     Nonevent            18


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              15.003         14.008          6.395
       SC               15.999         16.000          8.386
       -2 Log L         13.003         10.008          2.395


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         2.9952        1         0.0835
      Score                    2.2222        1         0.1360
      Wald                     0.0051        1         0.9428


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -6.8758     76.5723        0.0081        0.9285
x             1      5.4895     76.5723        0.0051        0.9428


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          242.139      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     55.6    Somers' D    0.556
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           44.4    Tau-a        0.105
         Pairs                    36    c            0.778
                  P-value as a function of offset                214
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=2 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            2.1111   0.4737   0.3553
                  Probability      0.2368   0.4737   0.3553
                  P-value as a function of offset                215
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=3 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                3
                       2     Nonevent            17


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              18.908         16.217          6.642
       SC               19.904         18.209          8.634
       -2 Log L         16.908         12.217          2.642


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.6910        1         0.0303
      Score                    3.5294        1         0.0603
      Wald                     0.0034        1         0.9538


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -6.9213       104.9        0.0044        0.9474
x             1      6.0740       104.9        0.0034        0.9538


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          434.402      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     58.8    Somers' D    0.588
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           41.2    Tau-a        0.158
         Pairs                    51    c            0.794
                  P-value as a function of offset                216
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=3 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.3529   0.2105   0.1579
                  Probability      0.1053   0.2105   0.1579
                  P-value as a function of offset                217
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=4 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                4
                       2     Nonevent            16


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              22.016         17.460          6.766
       SC               23.012         19.452          8.758
       -2 Log L         20.016         13.460          2.766


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.5558        1         0.0105
      Score                    5.0000        1         0.0253
      Wald                     0.0044        1         0.9469


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -6.5759     92.6408        0.0050        0.9434
x             1      6.1704     92.6408        0.0044        0.9469


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          478.391      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     62.5    Somers' D    0.625
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           37.5    Tau-a        0.211
         Pairs                    64    c            0.813
                  P-value as a function of offset                218
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=4 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            4.7500   0.0867   0.0650
                  Probability      0.0433   0.0867   0.0650
                  P-value as a function of offset                219
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=5 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                5
                       2     Nonevent            15


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              24.493         17.863          6.804
       SC               25.489         19.854          8.796
       -2 Log L         22.493         13.863          2.804


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         8.6304        1         0.0033
      Score                    6.6667        1         0.0098
      Wald                     0.0055        1         0.9408


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -6.2830     84.6565        0.0055        0.9408
x             1      6.2830     84.6565        0.0055        0.9408


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          535.409      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     66.7    Somers' D    0.667
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           33.3    Tau-a        0.263
         Pairs                    75    c            0.833
                  P-value as a function of offset                220
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=5 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            6.3333   0.0325   0.0244
                  Probability      0.0163   0.0325   0.0244
                  P-value as a function of offset                221
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=6 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                6
                       2     Nonevent            14


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              26.435         17.460          6.766
       SC               27.430         19.452          8.758
       -2 Log L         24.435         13.460          2.766


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        10.9743        1         0.0009
      Score                    8.5714        1         0.0034
      Wald                     0.0066        1         0.9354


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -6.0131     79.1580        0.0058        0.9394
x             1      6.4186     79.1580        0.0066        0.9354


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          613.148      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     71.4    Somers' D    0.714
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           28.6    Tau-a        0.316
         Pairs                    84    c            0.857
                  P-value as a function of offset                222
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=6 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            8.1429   0.0108   0.0081
                  Probability     0.00542   0.0108   0.0081
                  P-value as a function of offset                223
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=7 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                7
                       2     Nonevent            13


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         16.217          6.642
       SC               28.894         18.209          8.634
       -2 Log L         25.898         12.217          2.642


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        13.6805        1         0.0002
      Score                   10.7692        1         0.0010
      Wald                     0.0077        1         0.9303


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -5.7424     75.3111        0.0058        0.9392
x             1      6.5897     75.3111        0.0077        0.9303


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          727.564      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     76.9    Somers' D    0.769
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           23.1    Tau-a        0.368
         Pairs                    91    c            0.885
                  P-value as a function of offset                224
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=7 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           10.2308   0.0031   0.0023
                  Probability     0.00155   0.0031   0.0023
                  P-value as a function of offset                225
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=8 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                8
                       2     Nonevent            12


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         14.008          6.395
       SC               29.916         16.000          8.386
       -2 Log L         26.920         10.008          2.395


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        16.9123        1         <.0001
      Score                   13.3333        1         0.0003
      Wald                     0.0088        1         0.9252


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -5.4376     72.7014        0.0056        0.9404
x             1      6.8239     72.7014        0.0088        0.9252


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          919.590      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     83.3    Somers' D    0.833
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           16.7    Tau-a        0.421
         Pairs                    96    c            0.917
                  P-value as a function of offset                226
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=8 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           12.6667   0.0007   0.0005
                  Probability    0.000357   0.0007   0.0005
                  P-value as a function of offset                227
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=9 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                9
                       2     Nonevent            11


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         10.502          5.897
       SC               30.521         12.493          7.888
       -2 Log L         27.526          6.502          1.897


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        21.0238        1         <.0001
      Score                   16.3636        1         <.0001
      Wald                     0.0103        1         0.9193


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -5.0105     71.1408        0.0050        0.9439
x             1      7.2077     71.1408        0.0103        0.9193


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x         >999.999      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     90.9    Somers' D    0.909
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied            9.1    Tau-a        0.474
         Pairs                    99    c            0.955
                  P-value as a function of offset                228
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=9 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           15.5455   0.0001   <.0001
                  Probability    0.000060   0.0001   <.0001
                  P-value as a function of offset                229
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=10 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

            Complete separation of data points detected.          

WARNING: The maximum likelihood estimate does not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.726          4.004          4.004
       SC               30.722          5.995          5.995
       -2 Log L         27.726          0.004          0.004


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        27.7219        1         <.0001
      Score                   20.0000        1         <.0001
      Wald                     0.1706        1         0.6795


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1           0     22.2781        0.0000        1.0000
x             1      9.2027     22.2781        0.1706        0.6795


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x         >999.999      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant    100.0    Somers' D    1.000
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied            0.0    Tau-a        0.526
         Pairs                   100    c            1.000
                  P-value as a function of offset                230
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=10 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           19.0000   <.0001   <.0001
                  Probability    5.413E-6   <.0001   <.0001
                  P-value as a function of offset                231
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=0 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                1
                       2     Nonevent            19


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC               9.941         10.502          5.897
       SC               10.936         12.493          7.888
       -2 Log L          7.941          6.502          1.897


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         1.4389        1         0.2303
      Score                    1.0526        1         0.3049
      Wald                     0.0026        1         0.9595


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -7.6116       106.5        0.0051        0.9430
x             1     -5.4143       106.5        0.0026        0.9595


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.004      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     52.6    Somers' D    0.526
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           47.4    Tau-a        0.053
         Pairs                    19    c            0.763
                  P-value as a function of offset                232
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=0 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.0000   1.0000   0.7500
                  Probability      0.5000   1.0000   0.7500
                  P-value as a function of offset                233
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=1 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                2
                       2     Nonevent            18


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              15.003         17.003          7.793
       SC               15.999         18.995          9.784
       -2 Log L         13.003         13.003          3.793


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.0000        1         1.0000
      Score                    0.0000        1         1.0000
      Wald                     0.0000        1         1.0000


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -2.1972      0.7454        8.6900        0.0032
x             1           0      0.7454        0.0000        1.0000


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.000       0.232       4.310

NOTE: Measures of association between the observed and predicted 
      values were not calculated because the predicted 
      probabilities are indistinguishable when they are classified 
      into intervals of length 0.002.
                  P-value as a function of offset                234
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=1 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score                 0   1.0000   0.7368
                  Probability      0.5263   1.0000   0.7368
                  P-value as a function of offset                235
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=2 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                3
                       2     Nonevent            17


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              18.908         20.510          8.291
       SC               19.904         22.501         10.283
       -2 Log L         16.908         16.510          4.291


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.3987        1         0.5278
      Score                    0.3922        1         0.5312
      Wald                     0.3788        1         0.5383


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -1.7918      0.6588        7.3968        0.0065
x             1      0.4055      0.6588        0.3788        0.5383


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.500       0.412       5.456


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     35.3    Somers' D    0.196
         Percent Discordant     15.7    Gamma        0.385
         Percent Tied           49.0    Tau-a        0.053
         Pairs                    51    c            0.598
                  P-value as a function of offset                236
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=2 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.3725   1.0000   0.8026
                  Probability      0.3947   1.0000   0.8026
                  P-value as a function of offset                237
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=3 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                4
                       2     Nonevent            16


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              22.016         22.719          8.539
       SC               23.012         24.710         10.530
       -2 Log L         20.016         18.719          4.539


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         1.2972        1         0.2547
      Score                    1.2500        1         0.2636
      Wald                     1.1480        1         0.2840


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -1.5222      0.6299        5.8395        0.0157
x             1      0.6749      0.6299        1.1480        0.2840


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.964       0.571       6.750


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     42.2    Somers' D    0.313
         Percent Discordant     10.9    Gamma        0.588
         Percent Tied           46.9    Tau-a        0.105
         Pairs                    64    c            0.656
                  P-value as a function of offset                238
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=3 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.1875   0.5820   0.4582
                  Probability      0.2477   0.5820   0.4582
                  P-value as a function of offset                239
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=4 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                5
                       2     Nonevent            15


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              24.493         23.962          8.663
       SC               25.489         25.953         10.654
       -2 Log L         22.493         19.962          4.663


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         2.5315        1         0.1116
      Score                    2.4000        1         0.1213
      Wald                     2.1014        1         0.1472


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -1.3013      0.6180        4.4339        0.0352
x             1      0.8959      0.6180        2.1014        0.1472


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.449       0.729       8.225


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     48.0    Somers' D    0.400
         Percent Discordant      8.0    Gamma        0.714
         Percent Tied           44.0    Tau-a        0.158
         Pairs                    75    c            0.700
                  P-value as a function of offset                240
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=4 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            2.2800   0.3034   0.2357
                  Probability      0.1354   0.3034   0.2357
                  P-value as a function of offset                241
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=5 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                6
                       2     Nonevent            14


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              26.435         24.365          8.701
       SC               27.430         26.356         10.692
       -2 Log L         24.435         20.365          4.701


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.0700        1         0.0437
      Score                    3.8095        1         0.0510
      Wald                     3.1949        1         0.0739


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -1.0986      0.6146        3.1949        0.0739
x             1      1.0986      0.6146        3.1949        0.0739


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.000       0.899      10.007


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     53.6    Somers' D    0.476
         Percent Discordant      6.0    Gamma        0.800
         Percent Tied           40.5    Tau-a        0.211
         Pairs                    84    c            0.738
                  P-value as a function of offset                242
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=5 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.6190   0.1409   0.1084
                  Probability      0.0650   0.1409   0.1084
                  P-value as a function of offset                243
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=6 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                7
                       2     Nonevent            13


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         23.962          8.663
       SC               28.894         25.953         10.654
       -2 Log L         25.898         19.962          4.663


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.9360        1         0.0148
      Score                    5.4945        1         0.0191
      Wald                     4.4339        1         0.0352


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.8959      0.6180        2.1014        0.1472
x             1      1.3013      0.6180        4.4339        0.0352


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.674       1.094      12.337


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     59.3    Somers' D    0.549
         Percent Discordant      4.4    Gamma        0.862
         Percent Tied           36.3    Tau-a        0.263
         Pairs                    91    c            0.775
                  P-value as a function of offset                244
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=6 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            5.2198   0.0573   0.0437
                  Probability      0.0271   0.0573   0.0437
                  P-value as a function of offset                245
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=7 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                8
                       2     Nonevent            12


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         22.719          8.539
       SC               29.916         24.710         10.530
       -2 Log L         26.920         18.719          4.539


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         8.2015        1         0.0042
      Score                    7.5000        1         0.0062
      Wald                     5.8395        1         0.0157


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.6750      0.6299        1.1480        0.2840
x             1      1.5223      0.6299        5.8395        0.0157


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.583       1.333      15.751


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     65.6    Somers' D    0.625
         Percent Discordant      3.1    Gamma        0.909
         Percent Tied           31.3    Tau-a        0.316
         Pairs                    96    c            0.813
                  P-value as a function of offset                246
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=7 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            7.1250   0.0198   0.0150
                  Probability     0.00953   0.0198   0.0150
                  P-value as a function of offset                247
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=8 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                9
                       2     Nonevent            11


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         20.510          8.291
       SC               30.521         22.501         10.283
       -2 Log L         27.526         16.510          4.291


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        11.0158        1         0.0009
      Score                    9.8990        1         0.0017
      Wald                     7.3968        1         0.0065


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.4055      0.6588        0.3788        0.5383
x             1      1.7918      0.6588        7.3968        0.0065


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            6.000       1.650      21.824


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     72.7    Somers' D    0.707
         Percent Discordant      2.0    Gamma        0.946
         Percent Tied           25.3    Tau-a        0.368
         Pairs                    99    c            0.854
                  P-value as a function of offset                248
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=8 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            9.4040   0.0055   0.0041
                  Probability     0.00268   0.0055   0.0041
                  P-value as a function of offset                249
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=9 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.726         17.003          7.793
       SC               30.722         18.995          9.784
       -2 Log L         27.726         13.003          3.793


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        14.7226        1         0.0001
      Score                   12.8000        1         0.0003
      Wald                     8.6900        1         0.0032


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      -6E-18      0.7454        0.0000        1.0000
x             1      2.1972      0.7454        8.6900        0.0032


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            9.000       2.088      38.787


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     81.0    Somers' D    0.800
         Percent Discordant      1.0    Gamma        0.976
         Percent Tied           18.0    Tau-a        0.421
         Pairs                   100    c            0.900
                  P-value as a function of offset                250
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=9 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           12.1600   0.0011   0.0008
                  Probability    0.000541   0.0011   0.0008
                  P-value as a function of offset                251
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=10 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               11
                       2     Nonevent             9


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         10.502          5.897
       SC               30.521         12.493          7.888
       -2 Log L         27.526          6.502          1.897


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        21.0238        1         <.0001
      Score                   16.3636        1         <.0001
      Wald                     0.0103        1         0.9193


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      5.0105     71.1408        0.0050        0.9439
x             1      7.2077     71.1408        0.0103        0.9193


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x         >999.999      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     90.9    Somers' D    0.909
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied            9.1    Tau-a        0.474
         Pairs                    99    c            0.955
                  P-value as a function of offset                252
                                      16:53 Monday, December 4, 2017

---------------------------- y1=1 y2=10 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           15.5455   0.0001   <.0001
                  Probability    0.000060   0.0001   <.0001
                  P-value as a function of offset                253
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=0 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                2
                       2     Nonevent            18


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              15.003         14.008          6.395
       SC               15.999         16.000          8.386
       -2 Log L         13.003         10.008          2.395


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         2.9952        1         0.0835
      Score                    2.2222        1         0.1360
      Wald                     0.0051        1         0.9428


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -6.8758     76.5723        0.0081        0.9285
x             1     -5.4895     76.5723        0.0051        0.9428


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.004      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     55.6    Somers' D    0.556
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           44.4    Tau-a        0.105
         Pairs                    36    c            0.778
                  P-value as a function of offset                254
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=0 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            2.1111   0.4737   0.3553
                  Probability      0.2368   0.4737   0.3553
                  P-value as a function of offset                255
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=1 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                3
                       2     Nonevent            17


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              18.908         20.510          8.291
       SC               19.904         22.501         10.283
       -2 Log L         16.908         16.510          4.291


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.3987        1         0.5278
      Score                    0.3922        1         0.5312
      Wald                     0.3788        1         0.5383


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -1.7918      0.6588        7.3968        0.0065
x             1     -0.4055      0.6588        0.3788        0.5383


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.667       0.183       2.425


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     35.3    Somers' D    0.196
         Percent Discordant     15.7    Gamma        0.385
         Percent Tied           49.0    Tau-a        0.053
         Pairs                    51    c            0.598
                  P-value as a function of offset                256
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=1 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.3725   1.0000   0.8026
                  Probability      0.3947   1.0000   0.8026
                  P-value as a function of offset                257
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=2 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                4
                       2     Nonevent            16


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              22.016         24.016          8.789
       SC               23.012         26.008         10.781
       -2 Log L         20.016         20.016          4.789


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.0000        1         1.0000
      Score                    0.0000        1         1.0000
      Wald                     0.0000        1         1.0000


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -1.3863      0.5590        6.1498        0.0131
x             1           0      0.5590        0.0000        1.0000


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.000       0.334       2.991

NOTE: Measures of association between the observed and predicted 
      values were not calculated because the predicted 
      probabilities are indistinguishable when they are classified 
      into intervals of length 0.002.
                  P-value as a function of offset                258
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=2 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score          9.15E-34   1.0000   0.7910
                  Probability      0.4180   1.0000   0.7910
                  P-value as a function of offset                259
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=3 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                5
                       2     Nonevent            15


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              24.493         26.225          9.037
       SC               25.489         28.217         11.028
       -2 Log L         22.493         22.225          5.037


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.2681        1         0.6046
      Score                    0.2667        1         0.6056
      Wald                     0.2638        1         0.6076


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -1.1167      0.5247        4.5300        0.0333
x             1      0.2695      0.5247        0.2638        0.6076


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.309       0.468       3.661


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     32.0    Somers' D    0.133
         Percent Discordant     18.7    Gamma        0.263
         Percent Tied           49.3    Tau-a        0.053
         Pairs                    75    c            0.567
                  P-value as a function of offset                260
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=3 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.2533   1.0000   0.8259
                  Probability      0.3483   1.0000   0.8259
                  P-value as a function of offset                261
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=4 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                6
                       2     Nonevent            14


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              26.435         27.468          9.161
       SC               27.430         29.460         11.152
       -2 Log L         24.435         23.468          5.161


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.9663        1         0.3256
      Score                    0.9524        1         0.3291
      Wald                     0.9235        1         0.3365


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.8959      0.5103        3.0820        0.0792
x             1      0.4904      0.5103        0.9235        0.3365


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.633       0.601       4.440


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     38.1    Somers' D    0.238
         Percent Discordant     14.3    Gamma        0.455
         Percent Tied           47.6    Tau-a        0.105
         Pairs                    84    c            0.619
                  P-value as a function of offset                262
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=4 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.9048   0.6285   0.5066
                  Probability      0.2438   0.6285   0.5066
                  P-value as a function of offset                263
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=5 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                7
                       2     Nonevent            13


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         27.871          9.199
       SC               28.894         29.862         11.190
       -2 Log L         25.898         23.871          5.199


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         2.0269        1         0.1545
      Score                    1.9780        1         0.1596
      Wald                     1.8749        1         0.1709


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.6931      0.5062        1.8749        0.1709
x             1      0.6931      0.5062        1.8749        0.1709


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.000       0.742       5.394


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     44.0    Somers' D    0.330
         Percent Discordant     11.0    Gamma        0.600
         Percent Tied           45.1    Tau-a        0.158
         Pairs                    91    c            0.665
                  P-value as a function of offset                264
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=5 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.8791   0.3498   0.2767
                  Probability      0.1463   0.3498   0.2767
                  P-value as a function of offset                265
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=6 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                8
                       2     Nonevent            12


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         27.468          9.161
       SC               29.916         29.460         11.152
       -2 Log L         26.920         23.468          5.161


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4522        1         0.0632
      Score                    3.3333        1         0.0679
      Wald                     3.0820        1         0.0792


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.4904      0.5103        0.9235        0.3366
x             1      0.8959      0.5103        3.0820        0.0792


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.449       0.901       6.660


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     50.0    Somers' D    0.417
         Percent Discordant      8.3    Gamma        0.714
         Percent Tied           41.7    Tau-a        0.211
         Pairs                    96    c            0.708
                  P-value as a function of offset                266
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=6 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.1667   0.1698   0.1323
                  Probability      0.0750   0.1698   0.1323
                  P-value as a function of offset                267
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=7 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                9
                       2     Nonevent            11


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         26.225          9.037
       SC               30.521         28.217         11.028
       -2 Log L         27.526         22.225          5.037


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.3002        1         0.0213
      Score                    5.0505        1         0.0246
      Wald                     4.5304        1         0.0333


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.2695      0.5247        0.2638        0.6075
x             1      1.1168      0.5247        4.5304        0.0333


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.055       1.092       8.543


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     56.6    Somers' D    0.505
         Percent Discordant      6.1    Gamma        0.806
         Percent Tied           37.4    Tau-a        0.263
         Pairs                    99    c            0.753
                  P-value as a function of offset                268
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=7 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            4.7980   0.0698   0.0537
                  Probability      0.0322   0.0698   0.0537
                  P-value as a function of offset                269
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=8 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.726         24.016          8.789
       SC               30.722         26.008         10.781
       -2 Log L         27.726         20.016          4.789


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         7.7098        1         0.0055
      Score                    7.2000        1         0.0073
      Wald                     6.1497        1         0.0131


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1           0      0.5590        0.0000        1.0000
x             1      1.3863      0.5590        6.1497        0.0131


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.000       1.337      11.964


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     64.0    Somers' D    0.600
         Percent Discordant      4.0    Gamma        0.882
         Percent Tied           32.0    Tau-a        0.316
         Pairs                   100    c            0.800
                  P-value as a function of offset                270
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=8 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            6.8400   0.0230   0.0175
                  Probability      0.0110   0.0230   0.0175
                  P-value as a function of offset                271
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=9 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               11
                       2     Nonevent             9


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         20.510          8.291
       SC               30.521         22.501         10.283
       -2 Log L         27.526         16.510          4.291


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        11.0158        1         0.0009
      Score                    9.8990        1         0.0017
      Wald                     7.3968        1         0.0065


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.4055      0.6588        0.3788        0.5383
x             1      1.7918      0.6588        7.3968        0.0065


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            6.000       1.650      21.824


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     72.7    Somers' D    0.707
         Percent Discordant      2.0    Gamma        0.946
         Percent Tied           25.3    Tau-a        0.368
         Pairs                    99    c            0.854
                  P-value as a function of offset                272
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=9 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            9.4040   0.0055   0.0041
                  Probability     0.00268   0.0055   0.0041
                  P-value as a function of offset                273
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=10 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               12
                       2     Nonevent             8


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         14.008          6.395
       SC               29.916         16.000          8.386
       -2 Log L         26.920         10.008          2.395


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        16.9123        1         <.0001
      Score                   13.3333        1         0.0003
      Wald                     0.0088        1         0.9252


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      5.4376     72.7014        0.0056        0.9404
x             1      6.8239     72.7014        0.0088        0.9252


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          919.590      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     83.3    Somers' D    0.833
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           16.7    Tau-a        0.421
         Pairs                    96    c            0.917
                  P-value as a function of offset                274
                                      16:53 Monday, December 4, 2017

---------------------------- y1=2 y2=10 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           12.6667   0.0007   0.0005
                  Probability    0.000357   0.0007   0.0005
                  P-value as a function of offset                275
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=0 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                3
                       2     Nonevent            17


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              18.908         16.217          6.642
       SC               19.904         18.209          8.634
       -2 Log L         16.908         12.217          2.642


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.6910        1         0.0303
      Score                    3.5294        1         0.0603
      Wald                     0.0034        1         0.9538


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -6.9213       104.9        0.0044        0.9474
x             1     -6.0740       104.9        0.0034        0.9538


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.002      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     58.8    Somers' D    0.588
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           41.2    Tau-a        0.158
         Pairs                    51    c            0.794
                  P-value as a function of offset                276
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=0 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.3529   0.2105   0.1579
                  Probability      0.1053   0.2105   0.1579
                  P-value as a function of offset                277
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=1 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                4
                       2     Nonevent            16


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              22.016         22.719          8.539
       SC               23.012         24.710         10.530
       -2 Log L         20.016         18.719          4.539


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         1.2972        1         0.2547
      Score                    1.2500        1         0.2636
      Wald                     1.1480        1         0.2840


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -1.5222      0.6299        5.8395        0.0157
x             1     -0.6749      0.6299        1.1480        0.2840


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.509       0.148       1.750


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     42.2    Somers' D    0.313
         Percent Discordant     10.9    Gamma        0.588
         Percent Tied           46.9    Tau-a        0.105
         Pairs                    64    c            0.656
                  P-value as a function of offset                278
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=1 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.1875   0.5820   0.4582
                  Probability      0.2477   0.5820   0.4582
                  P-value as a function of offset                279
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=2 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                5
                       2     Nonevent            15


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              24.493         26.225          9.037
       SC               25.489         28.217         11.028
       -2 Log L         22.493         22.225          5.037


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.2681        1         0.6046
      Score                    0.2667        1         0.6056
      Wald                     0.2638        1         0.6076


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -1.1167      0.5247        4.5300        0.0333
x             1     -0.2695      0.5247        0.2638        0.6076


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.764       0.273       2.136


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     32.0    Somers' D    0.133
         Percent Discordant     18.7    Gamma        0.263
         Percent Tied           49.3    Tau-a        0.053
         Pairs                    75    c            0.567
                  P-value as a function of offset                280
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=2 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.2533   1.0000   0.8259
                  Probability      0.3483   1.0000   0.8259
                  P-value as a function of offset                281
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=3 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                6
                       2     Nonevent            14


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              26.435         28.435          9.285
       SC               27.430         30.426         11.276
       -2 Log L         24.435         24.435          5.285


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.0000        1         1.0000
      Score                    0.0000        1         1.0000
      Wald                     0.0000        1         1.0000


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.8473      0.4880        3.0152        0.0825
x             1           0      0.4880        0.0000        1.0000


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.000       0.384       2.602

NOTE: Measures of association between the observed and predicted 
      values were not calculated because the predicted 
      probabilities are indistinguishable when they are classified 
      into intervals of length 0.002.
                  P-value as a function of offset                282
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=3 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score          4.36E-35   1.0000   0.8142
                  Probability      0.3715   1.0000   0.8142
                  P-value as a function of offset                283
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=4 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                7
                       2     Nonevent            13


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         29.678          9.408
       SC               28.894         31.669         11.400
       -2 Log L         25.898         25.678          5.408


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.2203        1         0.6388
      Score                    0.2198        1         0.6392
      Wald                     0.2186        1         0.6401


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.6264      0.4725        1.7577        0.1849
x             1      0.2209      0.4725        0.2186        0.6401


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.247       0.494       3.148


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     30.8    Somers' D    0.110
         Percent Discordant     19.8    Gamma        0.217
         Percent Tied           49.5    Tau-a        0.053
         Pairs                    91    c            0.555
                  P-value as a function of offset                284
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=4 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.2088   1.0000   0.8375
                  Probability      0.3251   1.0000   0.8375
                  P-value as a function of offset                285
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=5 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                8
                       2     Nonevent            12


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         30.080          9.446
       SC               29.916         32.072         11.438
       -2 Log L         26.920         26.080          5.446


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.8402        1         0.3593
      Score                    0.8333        1         0.3613
      Wald                     0.8191        1         0.3654


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.4236      0.4680        0.8191        0.3654
x             1      0.4236      0.4680        0.8191        0.3654


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.527       0.610       3.822


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     36.5    Somers' D    0.208
         Percent Discordant     15.6    Gamma        0.400
         Percent Tied           47.9    Tau-a        0.105
         Pairs                    96    c            0.604
                  P-value as a function of offset                286
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=5 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.7917   0.6499   0.5299
                  Probability      0.2401   0.6499   0.5299
                  P-value as a function of offset                287
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=6 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                9
                       2     Nonevent            11


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         29.678          9.408
       SC               30.521         31.669         11.400
       -2 Log L         27.526         25.678          5.408


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         1.8480        1         0.1740
      Score                    1.8182        1         0.1775
      Wald                     1.7577        1         0.1849


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.2209      0.4725        0.2186        0.6401
x             1      0.6264      0.4725        1.7577        0.1849


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.871       0.741       4.723


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     42.4    Somers' D    0.303
         Percent Discordant     12.1    Gamma        0.556
         Percent Tied           45.5    Tau-a        0.158
         Pairs                    99    c            0.652
                  P-value as a function of offset                288
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=6 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.7273   0.3698   0.2948
                  Probability      0.1500   0.3698   0.2948
                  P-value as a function of offset                289
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=7 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.726         28.435          9.285
       SC               30.722         30.426         11.276
       -2 Log L         27.726         24.435          5.285


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.2913        1         0.0696
      Score                    3.2000        1         0.0736
      Wald                     3.0152        1         0.0825


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1    -243E-20      0.4880        0.0000        1.0000
x             1      0.8473      0.4880        3.0152        0.0825


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.333       0.897       6.072


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
                  P-value as a function of offset                290
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=7 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.0400   0.1789   0.1399
                  Probability      0.0779   0.1789   0.1399
                  P-value as a function of offset                291
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=8 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               11
                       2     Nonevent             9


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         26.225          9.037
       SC               30.521         28.217         11.028
       -2 Log L         27.526         22.225          5.037


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.3002        1         0.0213
      Score                    5.0505        1         0.0246
      Wald                     4.5304        1         0.0333


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.2695      0.5247        0.2638        0.6075
x             1      1.1168      0.5247        4.5304        0.0333


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.055       1.092       8.543


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     56.6    Somers' D    0.505
         Percent Discordant      6.1    Gamma        0.806
         Percent Tied           37.4    Tau-a        0.263
         Pairs                    99    c            0.753
                  P-value as a function of offset                292
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=8 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            4.7980   0.0698   0.0537
                  Probability      0.0322   0.0698   0.0537
                  P-value as a function of offset                293
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=9 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               12
                       2     Nonevent             8


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         22.719          8.539
       SC               29.916         24.710         10.530
       -2 Log L         26.920         18.719          4.539


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         8.2015        1         0.0042
      Score                    7.5000        1         0.0062
      Wald                     5.8395        1         0.0157


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.6750      0.6299        1.1480        0.2840
x             1      1.5223      0.6299        5.8395        0.0157


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            4.583       1.333      15.751


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     65.6    Somers' D    0.625
         Percent Discordant      3.1    Gamma        0.909
         Percent Tied           31.3    Tau-a        0.316
         Pairs                    96    c            0.813
                  P-value as a function of offset                294
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=9 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            7.1250   0.0198   0.0150
                  Probability     0.00953   0.0198   0.0150
                  P-value as a function of offset                295
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=10 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               13
                       2     Nonevent             7


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         16.217          6.642
       SC               28.894         18.209          8.634
       -2 Log L         25.898         12.217          2.642


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        13.6805        1         0.0002
      Score                   10.7692        1         0.0010
      Wald                     0.0077        1         0.9303


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      5.7424     75.3111        0.0058        0.9392
x             1      6.5897     75.3111        0.0077        0.9303


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          727.564      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     76.9    Somers' D    0.769
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           23.1    Tau-a        0.368
         Pairs                    91    c            0.885
                  P-value as a function of offset                296
                                      16:53 Monday, December 4, 2017

---------------------------- y1=3 y2=10 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           10.2308   0.0031   0.0023
                  Probability     0.00155   0.0031   0.0023
                  P-value as a function of offset                297
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=0 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                4
                       2     Nonevent            16


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              22.016         17.460          6.766
       SC               23.012         19.452          8.758
       -2 Log L         20.016         13.460          2.766


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.5558        1         0.0105
      Score                    5.0000        1         0.0253
      Wald                     0.0044        1         0.9469


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -6.5759     92.6408        0.0050        0.9434
x             1     -6.1704     92.6408        0.0044        0.9469


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.002      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     62.5    Somers' D    0.625
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           37.5    Tau-a        0.211
         Pairs                    64    c            0.813
                  P-value as a function of offset                298
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=0 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            4.7500   0.0867   0.0650
                  Probability      0.0433   0.0867   0.0650
                  P-value as a function of offset                299
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=1 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                5
                       2     Nonevent            15


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              24.493         23.962          8.663
       SC               25.489         25.953         10.654
       -2 Log L         22.493         19.962          4.663


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         2.5315        1         0.1116
      Score                    2.4000        1         0.1213
      Wald                     2.1014        1         0.1472


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -1.3013      0.6180        4.4339        0.0352
x             1     -0.8959      0.6180        2.1014        0.1472


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.408       0.122       1.371


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     48.0    Somers' D    0.400
         Percent Discordant      8.0    Gamma        0.714
         Percent Tied           44.0    Tau-a        0.158
         Pairs                    75    c            0.700
                  P-value as a function of offset                300
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=1 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            2.2800   0.3034   0.2357
                  Probability      0.1354   0.3034   0.2357
                  P-value as a function of offset                301
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=2 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                6
                       2     Nonevent            14


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              26.435         27.468          9.161
       SC               27.430         29.460         11.152
       -2 Log L         24.435         23.468          5.161


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.9663        1         0.3256
      Score                    0.9524        1         0.3291
      Wald                     0.9235        1         0.3365


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.8959      0.5103        3.0820        0.0792
x             1     -0.4904      0.5103        0.9235        0.3365


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.612       0.225       1.665


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     38.1    Somers' D    0.238
         Percent Discordant     14.3    Gamma        0.455
         Percent Tied           47.6    Tau-a        0.105
         Pairs                    84    c            0.619
                  P-value as a function of offset                302
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=2 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.9048   0.6285   0.5066
                  Probability      0.2438   0.6285   0.5066
                  P-value as a function of offset                303
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=3 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                7
                       2     Nonevent            13


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         29.678          9.408
       SC               28.894         31.669         11.400
       -2 Log L         25.898         25.678          5.408


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.2203        1         0.6388
      Score                    0.2198        1         0.6392
      Wald                     0.2186        1         0.6401


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.6264      0.4725        1.7577        0.1849
x             1     -0.2209      0.4725        0.2186        0.6401


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.802       0.318       2.024


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     30.8    Somers' D    0.110
         Percent Discordant     19.8    Gamma        0.217
         Percent Tied           49.5    Tau-a        0.053
         Pairs                    91    c            0.555
                  P-value as a function of offset                304
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=3 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.2088   1.0000   0.8375
                  Probability      0.3251   1.0000   0.8375
                  P-value as a function of offset                305
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=4 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                8
                       2     Nonevent            12


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         30.920          9.532
       SC               29.916         32.912         11.524
       -2 Log L         26.920         26.920          5.532


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.0000        1         1.0000
      Score                    0.0000        1         1.0000
      Wald                     0.0000        1         1.0000


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.4055      0.4564        0.7891        0.3744
x             1           0      0.4564        0.0000        1.0000


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.000       0.409       2.446

NOTE: Measures of association between the observed and predicted 
      values were not calculated because the predicted 
      probabilities are indistinguishable when they are classified 
      into intervals of length 0.002.
                  P-value as a function of offset                306
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=4 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score          9.41E-34   1.0000   0.8250
                  Probability      0.3501   1.0000   0.8250
                  P-value as a function of offset                307
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=5 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                9
                       2     Nonevent            11


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         31.323          9.570
       SC               30.521         33.315         11.562
       -2 Log L         27.526         27.323          5.570


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.2024        1         0.6528
      Score                    0.2020        1         0.6531
      Wald                     0.2013        1         0.6537


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.2027      0.4518        0.2013        0.6537
x             1      0.2027      0.4518        0.2013        0.6537


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.225       0.505       2.969


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     30.3    Somers' D    0.101
         Percent Discordant     20.2    Gamma        0.200
         Percent Tied           49.5    Tau-a        0.053
         Pairs                    99    c            0.551
                  P-value as a function of offset                308
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=5 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.1919   1.0000   0.8425
                  Probability      0.3151   1.0000   0.8425
                  P-value as a function of offset                309
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=6 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.726         30.920          9.532
       SC               30.722         32.912         11.524
       -2 Log L         27.726         26.920          5.532


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.8054        1         0.3695
      Score                    0.8000        1         0.3711
      Wald                     0.7891        1         0.3744


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1    2.52E-19      0.4564        0.0000        1.0000
x             1      0.4055      0.4564        0.7891        0.3744


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.500       0.613       3.670


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     36.0    Somers' D    0.200
         Percent Discordant     16.0    Gamma        0.385
         Percent Tied           48.0    Tau-a        0.105
         Pairs                   100    c            0.600
                  P-value as a function of offset                310
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=6 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.7600   0.6563   0.5369
                  Probability      0.2387   0.6563   0.5369
                  P-value as a function of offset                311
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=7 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               11
                       2     Nonevent             9


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         29.678          9.408
       SC               30.521         31.669         11.400
       -2 Log L         27.526         25.678          5.408


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         1.8480        1         0.1740
      Score                    1.8182        1         0.1775
      Wald                     1.7577        1         0.1849


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.2209      0.4725        0.2186        0.6401
x             1      0.6264      0.4725        1.7577        0.1849


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.871       0.741       4.723


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     42.4    Somers' D    0.303
         Percent Discordant     12.1    Gamma        0.556
         Percent Tied           45.5    Tau-a        0.158
         Pairs                    99    c            0.652
                  P-value as a function of offset                312
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=7 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.7273   0.3698   0.2948
                  Probability      0.1500   0.3698   0.2948
                  P-value as a function of offset                313
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=8 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               12
                       2     Nonevent             8


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         27.468          9.161
       SC               29.916         29.460         11.152
       -2 Log L         26.920         23.468          5.161


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4522        1         0.0632
      Score                    3.3333        1         0.0679
      Wald                     3.0820        1         0.0792


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.4904      0.5103        0.9235        0.3366
x             1      0.8959      0.5103        3.0820        0.0792


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.449       0.901       6.660


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     50.0    Somers' D    0.417
         Percent Discordant      8.3    Gamma        0.714
         Percent Tied           41.7    Tau-a        0.211
         Pairs                    96    c            0.708
                  P-value as a function of offset                314
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=8 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.1667   0.1698   0.1323
                  Probability      0.0750   0.1698   0.1323
                  P-value as a function of offset                315
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=9 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               13
                       2     Nonevent             7


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         23.962          8.663
       SC               28.894         25.953         10.654
       -2 Log L         25.898         19.962          4.663


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.9360        1         0.0148
      Score                    5.4945        1         0.0191
      Wald                     4.4339        1         0.0352


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.8959      0.6180        2.1014        0.1472
x             1      1.3013      0.6180        4.4339        0.0352


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.674       1.094      12.337


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     59.3    Somers' D    0.549
         Percent Discordant      4.4    Gamma        0.862
         Percent Tied           36.3    Tau-a        0.263
         Pairs                    91    c            0.775
                  P-value as a function of offset                316
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=9 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            5.2198   0.0573   0.0437
                  Probability      0.0271   0.0573   0.0437
                  P-value as a function of offset                317
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=10 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               14
                       2     Nonevent             6


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              26.435         17.460          6.766
       SC               27.430         19.452          8.758
       -2 Log L         24.435         13.460          2.766


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        10.9743        1         0.0009
      Score                    8.5714        1         0.0034
      Wald                     0.0066        1         0.9354


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      6.0131     79.1580        0.0058        0.9394
x             1      6.4186     79.1580        0.0066        0.9354


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          613.148      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     71.4    Somers' D    0.714
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           28.6    Tau-a        0.316
         Pairs                    84    c            0.857
                  P-value as a function of offset                318
                                      16:53 Monday, December 4, 2017

---------------------------- y1=4 y2=10 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            8.1429   0.0108   0.0081
                  Probability     0.00542   0.0108   0.0081
                  P-value as a function of offset                319
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=0 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                5
                       2     Nonevent            15


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              24.493         17.863          6.804
       SC               25.489         19.854          8.796
       -2 Log L         22.493         13.863          2.804


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         8.6304        1         0.0033
      Score                    6.6667        1         0.0098
      Wald                     0.0055        1         0.9408


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -6.2830     84.6565        0.0055        0.9408
x             1     -6.2830     84.6565        0.0055        0.9408


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.002      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     66.7    Somers' D    0.667
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           33.3    Tau-a        0.263
         Pairs                    75    c            0.833
                  P-value as a function of offset                320
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=0 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            6.3333   0.0325   0.0244
                  Probability      0.0163   0.0325   0.0244
                  P-value as a function of offset                321
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=1 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                6
                       2     Nonevent            14


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              26.435         24.365          8.701
       SC               27.430         26.356         10.692
       -2 Log L         24.435         20.365          4.701


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.0700        1         0.0437
      Score                    3.8095        1         0.0510
      Wald                     3.1949        1         0.0739


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -1.0986      0.6146        3.1949        0.0739
x             1     -1.0986      0.6146        3.1949        0.0739


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.333       0.100       1.112


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     53.6    Somers' D    0.476
         Percent Discordant      6.0    Gamma        0.800
         Percent Tied           40.5    Tau-a        0.211
         Pairs                    84    c            0.738
                  P-value as a function of offset                322
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=1 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.6190   0.1409   0.1084
                  Probability      0.0650   0.1409   0.1084
                  P-value as a function of offset                323
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=2 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                7
                       2     Nonevent            13


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         27.871          9.199
       SC               28.894         29.862         11.190
       -2 Log L         25.898         23.871          5.199


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         2.0269        1         0.1545
      Score                    1.9780        1         0.1596
      Wald                     1.8749        1         0.1709


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.6931      0.5062        1.8749        0.1709
x             1     -0.6931      0.5062        1.8749        0.1709


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.500       0.185       1.349


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     44.0    Somers' D    0.330
         Percent Discordant     11.0    Gamma        0.600
         Percent Tied           45.1    Tau-a        0.158
         Pairs                    91    c            0.665
                  P-value as a function of offset                324
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=2 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.8791   0.3498   0.2767
                  Probability      0.1463   0.3498   0.2767
                  P-value as a function of offset                325
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=3 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                8
                       2     Nonevent            12


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         30.080          9.446
       SC               29.916         32.072         11.438
       -2 Log L         26.920         26.080          5.446


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.8402        1         0.3593
      Score                    0.8333        1         0.3613
      Wald                     0.8191        1         0.3654


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.4236      0.4680        0.8191        0.3654
x             1     -0.4236      0.4680        0.8191        0.3654


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.655       0.262       1.638


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     36.5    Somers' D    0.208
         Percent Discordant     15.6    Gamma        0.400
         Percent Tied           47.9    Tau-a        0.105
         Pairs                    96    c            0.604
                  P-value as a function of offset                326
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=3 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.7917   0.6499   0.5299
                  Probability      0.2401   0.6499   0.5299
                  P-value as a function of offset                327
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=4 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                9
                       2     Nonevent            11


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         31.323          9.570
       SC               30.521         33.315         11.562
       -2 Log L         27.526         27.323          5.570


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.2024        1         0.6528
      Score                    0.2020        1         0.6531
      Wald                     0.2013        1         0.6537


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.2027      0.4518        0.2013        0.6537
x             1     -0.2027      0.4518        0.2013        0.6537


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.816       0.337       1.980


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     30.3    Somers' D    0.101
         Percent Discordant     20.2    Gamma        0.200
         Percent Tied           49.5    Tau-a        0.053
         Pairs                    99    c            0.551
                  P-value as a function of offset                328
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=4 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.1919   1.0000   0.8425
                  Probability      0.3151   1.0000   0.8425
                  P-value as a function of offset                329
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=5 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.726         31.726          9.608
       SC               30.722         33.717         11.600
       -2 Log L         27.726         27.726          5.608


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.0000        1         1.0000
      Score                    0.0000        1         1.0000
      Wald                     0.0000        1         1.0000


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1           0      0.4472        0.0000        1.0000
x             1           0      0.4472        0.0000        1.0000


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.000       0.416       2.403

NOTE: Measures of association between the observed and predicted 
      values were not calculated because the predicted 
      probabilities are indistinguishable when they are classified 
      into intervals of length 0.002.
                  P-value as a function of offset                330
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=5 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score          3.09E-34   1.0000   0.8281
                  Probability      0.3437   1.0000   0.8281
                  P-value as a function of offset                331
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=6 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               11
                       2     Nonevent             9


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         31.323          9.570
       SC               30.521         33.315         11.562
       -2 Log L         27.526         27.323          5.570


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.2024        1         0.6528
      Score                    0.2020        1         0.6531
      Wald                     0.2013        1         0.6537


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.2027      0.4518        0.2013        0.6537
x             1      0.2027      0.4518        0.2013        0.6537


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.225       0.505       2.969


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     30.3    Somers' D    0.101
         Percent Discordant     20.2    Gamma        0.200
         Percent Tied           49.5    Tau-a        0.053
         Pairs                    99    c            0.551
                  P-value as a function of offset                332
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=6 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.1919   1.0000   0.8425
                  Probability      0.3151   1.0000   0.8425
                  P-value as a function of offset                333
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=7 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               12
                       2     Nonevent             8


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         30.080          9.446
       SC               29.916         32.072         11.438
       -2 Log L         26.920         26.080          5.446


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.8402        1         0.3593
      Score                    0.8333        1         0.3613
      Wald                     0.8191        1         0.3654


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.4236      0.4680        0.8191        0.3654
x             1      0.4236      0.4680        0.8191        0.3654


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.527       0.610       3.822


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     36.5    Somers' D    0.208
         Percent Discordant     15.6    Gamma        0.400
         Percent Tied           47.9    Tau-a        0.105
         Pairs                    96    c            0.604
                  P-value as a function of offset                334
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=7 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.7917   0.6499   0.5299
                  Probability      0.2401   0.6499   0.5299
                  P-value as a function of offset                335
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=8 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               13
                       2     Nonevent             7


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         27.871          9.199
       SC               28.894         29.862         11.190
       -2 Log L         25.898         23.871          5.199


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         2.0269        1         0.1545
      Score                    1.9780        1         0.1596
      Wald                     1.8749        1         0.1709


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.6931      0.5062        1.8749        0.1709
x             1      0.6931      0.5062        1.8749        0.1709


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.000       0.742       5.394


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     44.0    Somers' D    0.330
         Percent Discordant     11.0    Gamma        0.600
         Percent Tied           45.1    Tau-a        0.158
         Pairs                    91    c            0.665
                  P-value as a function of offset                336
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=8 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.8791   0.3498   0.2767
                  Probability      0.1463   0.3498   0.2767
                  P-value as a function of offset                337
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=9 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               14
                       2     Nonevent             6


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              26.435         24.365          8.701
       SC               27.430         26.356         10.692
       -2 Log L         24.435         20.365          4.701


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.0700        1         0.0437
      Score                    3.8095        1         0.0510
      Wald                     3.1949        1         0.0739


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      1.0986      0.6146        3.1949        0.0739
x             1      1.0986      0.6146        3.1949        0.0739


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            3.000       0.899      10.007


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     53.6    Somers' D    0.476
         Percent Discordant      6.0    Gamma        0.800
         Percent Tied           40.5    Tau-a        0.211
         Pairs                    84    c            0.738
                  P-value as a function of offset                338
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=9 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.6190   0.1409   0.1084
                  Probability      0.0650   0.1409   0.1084
                  P-value as a function of offset                339
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=10 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               15
                       2     Nonevent             5


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              24.493         17.863          6.804
       SC               25.489         19.854          8.796
       -2 Log L         22.493         13.863          2.804


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         8.6304        1         0.0033
      Score                    6.6667        1         0.0098
      Wald                     0.0055        1         0.9408


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      6.2830     84.6565        0.0055        0.9408
x             1      6.2830     84.6565        0.0055        0.9408


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          535.409      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     66.7    Somers' D    0.667
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           33.3    Tau-a        0.263
         Pairs                    75    c            0.833
                  P-value as a function of offset                340
                                      16:53 Monday, December 4, 2017

---------------------------- y1=5 y2=10 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            6.3333   0.0325   0.0244
                  Probability      0.0163   0.0325   0.0244
                  P-value as a function of offset                341
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=0 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                6
                       2     Nonevent            14


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              26.435         17.460          6.766
       SC               27.430         19.452          8.758
       -2 Log L         24.435         13.460          2.766


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        10.9743        1         0.0009
      Score                    8.5714        1         0.0034
      Wald                     0.0066        1         0.9354


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -6.0131     79.1580        0.0058        0.9394
x             1     -6.4186     79.1580        0.0066        0.9354


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.002      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     71.4    Somers' D    0.714
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           28.6    Tau-a        0.316
         Pairs                    84    c            0.857
                  P-value as a function of offset                342
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=0 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            8.1429   0.0108   0.0081
                  Probability     0.00542   0.0108   0.0081
                  P-value as a function of offset                343
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=1 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                7
                       2     Nonevent            13


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         23.962          8.663
       SC               28.894         25.953         10.654
       -2 Log L         25.898         19.962          4.663


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.9360        1         0.0148
      Score                    5.4945        1         0.0191
      Wald                     4.4339        1         0.0352


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.8959      0.6180        2.1014        0.1472
x             1     -1.3013      0.6180        4.4339        0.0352


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.272       0.081       0.914


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     59.3    Somers' D    0.549
         Percent Discordant      4.4    Gamma        0.862
         Percent Tied           36.3    Tau-a        0.263
         Pairs                    91    c            0.775
                  P-value as a function of offset                344
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=1 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            5.2198   0.0573   0.0437
                  Probability      0.0271   0.0573   0.0437
                  P-value as a function of offset                345
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=2 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                8
                       2     Nonevent            12


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         27.468          9.161
       SC               29.916         29.460         11.152
       -2 Log L         26.920         23.468          5.161


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4522        1         0.0632
      Score                    3.3333        1         0.0679
      Wald                     3.0820        1         0.0792


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.4904      0.5103        0.9235        0.3366
x             1     -0.8959      0.5103        3.0820        0.0792


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.408       0.150       1.110


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     50.0    Somers' D    0.417
         Percent Discordant      8.3    Gamma        0.714
         Percent Tied           41.7    Tau-a        0.211
         Pairs                    96    c            0.708
                  P-value as a function of offset                346
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=2 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.1667   0.1698   0.1323
                  Probability      0.0750   0.1698   0.1323
                  P-value as a function of offset                347
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=3 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                9
                       2     Nonevent            11


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         29.678          9.408
       SC               30.521         31.669         11.400
       -2 Log L         27.526         25.678          5.408


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         1.8480        1         0.1740
      Score                    1.8182        1         0.1775
      Wald                     1.7577        1         0.1849


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.2209      0.4725        0.2186        0.6401
x             1     -0.6264      0.4725        1.7577        0.1849


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.535       0.212       1.349


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     42.4    Somers' D    0.303
         Percent Discordant     12.1    Gamma        0.556
         Percent Tied           45.5    Tau-a        0.158
         Pairs                    99    c            0.652
                  P-value as a function of offset                348
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=3 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.7273   0.3698   0.2948
                  Probability      0.1500   0.3698   0.2948
                  P-value as a function of offset                349
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=4 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.726         30.920          9.532
       SC               30.722         32.912         11.524
       -2 Log L         27.726         26.920          5.532


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.8054        1         0.3695
      Score                    0.8000        1         0.3711
      Wald                     0.7891        1         0.3744


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1    -126E-21      0.4564        0.0000        1.0000
x             1     -0.4055      0.4564        0.7891        0.3744


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.667       0.273       1.631


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     36.0    Somers' D    0.200
         Percent Discordant     16.0    Gamma        0.385
         Percent Tied           48.0    Tau-a        0.105
         Pairs                   100    c            0.600
                  P-value as a function of offset                350
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=4 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.7600   0.6563   0.5369
                  Probability      0.2387   0.6563   0.5369
                  P-value as a function of offset                351
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=5 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               11
                       2     Nonevent             9


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         31.323          9.570
       SC               30.521         33.315         11.562
       -2 Log L         27.526         27.323          5.570


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.2024        1         0.6528
      Score                    0.2020        1         0.6531
      Wald                     0.2013        1         0.6537


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.2027      0.4518        0.2013        0.6537
x             1     -0.2027      0.4518        0.2013        0.6537


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.816       0.337       1.980


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     30.3    Somers' D    0.101
         Percent Discordant     20.2    Gamma        0.200
         Percent Tied           49.5    Tau-a        0.053
         Pairs                    99    c            0.551
                  P-value as a function of offset                352
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=5 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.1919   1.0000   0.8425
                  Probability      0.3151   1.0000   0.8425
                  P-value as a function of offset                353
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=6 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               12
                       2     Nonevent             8


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         30.920          9.532
       SC               29.916         32.912         11.524
       -2 Log L         26.920         26.920          5.532


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.0000        1         1.0000
      Score                    0.0000        1         1.0000
      Wald                     0.0000        1         1.0000


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.4055      0.4564        0.7891        0.3744
x             1           0      0.4564        0.0000        1.0000


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.000       0.409       2.446

NOTE: Measures of association between the observed and predicted 
      values were not calculated because the predicted 
      probabilities are indistinguishable when they are classified 
      into intervals of length 0.002.
                  P-value as a function of offset                354
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=6 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score          9.41E-34   1.0000   0.8250
                  Probability      0.3501   1.0000   0.8250
                  P-value as a function of offset                355
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=7 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               13
                       2     Nonevent             7


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         29.678          9.408
       SC               28.894         31.669         11.400
       -2 Log L         25.898         25.678          5.408


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.2203        1         0.6388
      Score                    0.2198        1         0.6392
      Wald                     0.2186        1         0.6401


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.6264      0.4725        1.7577        0.1849
x             1      0.2209      0.4725        0.2186        0.6401


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.247       0.494       3.148


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     30.8    Somers' D    0.110
         Percent Discordant     19.8    Gamma        0.217
         Percent Tied           49.5    Tau-a        0.053
         Pairs                    91    c            0.555
                  P-value as a function of offset                356
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=7 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.2088   1.0000   0.8375
                  Probability      0.3251   1.0000   0.8375
                  P-value as a function of offset                357
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=8 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               14
                       2     Nonevent             6


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              26.435         27.468          9.161
       SC               27.430         29.460         11.152
       -2 Log L         24.435         23.468          5.161


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.9663        1         0.3256
      Score                    0.9524        1         0.3291
      Wald                     0.9235        1         0.3365


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.8959      0.5103        3.0820        0.0792
x             1      0.4904      0.5103        0.9235        0.3365


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.633       0.601       4.440


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     38.1    Somers' D    0.238
         Percent Discordant     14.3    Gamma        0.455
         Percent Tied           47.6    Tau-a        0.105
         Pairs                    84    c            0.619
                  P-value as a function of offset                358
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=8 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.9048   0.6285   0.5066
                  Probability      0.2438   0.6285   0.5066
                  P-value as a function of offset                359
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=9 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               15
                       2     Nonevent             5


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              24.493         23.962          8.663
       SC               25.489         25.953         10.654
       -2 Log L         22.493         19.962          4.663


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         2.5315        1         0.1116
      Score                    2.4000        1         0.1213
      Wald                     2.1014        1         0.1472


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      1.3013      0.6180        4.4339        0.0352
x             1      0.8959      0.6180        2.1014        0.1472


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            2.449       0.729       8.225


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     48.0    Somers' D    0.400
         Percent Discordant      8.0    Gamma        0.714
         Percent Tied           44.0    Tau-a        0.158
         Pairs                    75    c            0.700
                  P-value as a function of offset                360
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=9 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            2.2800   0.3034   0.2357
                  Probability      0.1354   0.3034   0.2357
                  P-value as a function of offset                361
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=10 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               16
                       2     Nonevent             4


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              22.016         17.460          6.766
       SC               23.012         19.452          8.758
       -2 Log L         20.016         13.460          2.766


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.5558        1         0.0105
      Score                    5.0000        1         0.0253
      Wald                     0.0044        1         0.9469


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      6.5759     92.6408        0.0050        0.9434
x             1      6.1704     92.6408        0.0044        0.9469


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          478.391      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     62.5    Somers' D    0.625
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           37.5    Tau-a        0.211
         Pairs                    64    c            0.813
                  P-value as a function of offset                362
                                      16:53 Monday, December 4, 2017

---------------------------- y1=6 y2=10 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            4.7500   0.0867   0.0650
                  Probability      0.0433   0.0867   0.0650
                  P-value as a function of offset                363
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=0 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                7
                       2     Nonevent            13


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         16.217          6.642
       SC               28.894         18.209          8.634
       -2 Log L         25.898         12.217          2.642


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        13.6805        1         0.0002
      Score                   10.7692        1         0.0010
      Wald                     0.0077        1         0.9303


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -5.7424     75.3111        0.0058        0.9392
x             1     -6.5897     75.3111        0.0077        0.9303


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.001      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     76.9    Somers' D    0.769
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           23.1    Tau-a        0.368
         Pairs                    91    c            0.885
                  P-value as a function of offset                364
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=0 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           10.2308   0.0031   0.0023
                  Probability     0.00155   0.0031   0.0023
                  P-value as a function of offset                365
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=1 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                8
                       2     Nonevent            12


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         22.719          8.539
       SC               29.916         24.710         10.530
       -2 Log L         26.920         18.719          4.539


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         8.2015        1         0.0042
      Score                    7.5000        1         0.0062
      Wald                     5.8395        1         0.0157


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.6750      0.6299        1.1480        0.2840
x             1     -1.5223      0.6299        5.8395        0.0157


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.218       0.063       0.750


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     65.6    Somers' D    0.625
         Percent Discordant      3.1    Gamma        0.909
         Percent Tied           31.3    Tau-a        0.316
         Pairs                    96    c            0.813
                  P-value as a function of offset                366
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=1 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            7.1250   0.0198   0.0150
                  Probability     0.00953   0.0198   0.0150
                  P-value as a function of offset                367
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=2 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                9
                       2     Nonevent            11


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         26.225          9.037
       SC               30.521         28.217         11.028
       -2 Log L         27.526         22.225          5.037


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.3002        1         0.0213
      Score                    5.0505        1         0.0246
      Wald                     4.5304        1         0.0333


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.2695      0.5247        0.2638        0.6075
x             1     -1.1168      0.5247        4.5304        0.0333


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.327       0.117       0.915


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     56.6    Somers' D    0.505
         Percent Discordant      6.1    Gamma        0.806
         Percent Tied           37.4    Tau-a        0.263
         Pairs                    99    c            0.753
                  P-value as a function of offset                368
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=2 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            4.7980   0.0698   0.0537
                  Probability      0.0322   0.0698   0.0537
                  P-value as a function of offset                369
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=3 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.726         28.435          9.285
       SC               30.722         30.426         11.276
       -2 Log L         27.726         24.435          5.285


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.2913        1         0.0696
      Score                    3.2000        1         0.0736
      Wald                     3.0152        1         0.0825


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1    1.23E-18      0.4880        0.0000        1.0000
x             1     -0.8473      0.4880        3.0152        0.0825


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.429       0.165       1.115


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     49.0    Somers' D    0.400
         Percent Discordant      9.0    Gamma        0.690
         Percent Tied           42.0    Tau-a        0.211
         Pairs                   100    c            0.700
                  P-value as a function of offset                370
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=3 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.0400   0.1789   0.1399
                  Probability      0.0779   0.1789   0.1399
                  P-value as a function of offset                371
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=4 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               11
                       2     Nonevent             9


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         29.678          9.408
       SC               30.521         31.669         11.400
       -2 Log L         27.526         25.678          5.408


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         1.8480        1         0.1740
      Score                    1.8182        1         0.1775
      Wald                     1.7577        1         0.1849


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.2209      0.4725        0.2186        0.6401
x             1     -0.6264      0.4725        1.7577        0.1849


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.535       0.212       1.349


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     42.4    Somers' D    0.303
         Percent Discordant     12.1    Gamma        0.556
         Percent Tied           45.5    Tau-a        0.158
         Pairs                    99    c            0.652
                  P-value as a function of offset                372
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=4 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.7273   0.3698   0.2948
                  Probability      0.1500   0.3698   0.2948
                  P-value as a function of offset                373
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=5 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               12
                       2     Nonevent             8


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         30.080          9.446
       SC               29.916         32.072         11.438
       -2 Log L         26.920         26.080          5.446


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.8402        1         0.3593
      Score                    0.8333        1         0.3613
      Wald                     0.8191        1         0.3654


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.4236      0.4680        0.8191        0.3654
x             1     -0.4236      0.4680        0.8191        0.3654


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.655       0.262       1.638


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     36.5    Somers' D    0.208
         Percent Discordant     15.6    Gamma        0.400
         Percent Tied           47.9    Tau-a        0.105
         Pairs                    96    c            0.604
                  P-value as a function of offset                374
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=5 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.7917   0.6499   0.5299
                  Probability      0.2401   0.6499   0.5299
                  P-value as a function of offset                375
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=6 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               13
                       2     Nonevent             7


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         29.678          9.408
       SC               28.894         31.669         11.400
       -2 Log L         25.898         25.678          5.408


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.2203        1         0.6388
      Score                    0.2198        1         0.6392
      Wald                     0.2186        1         0.6401


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.6264      0.4725        1.7577        0.1849
x             1     -0.2209      0.4725        0.2186        0.6401


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.802       0.318       2.024


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     30.8    Somers' D    0.110
         Percent Discordant     19.8    Gamma        0.217
         Percent Tied           49.5    Tau-a        0.053
         Pairs                    91    c            0.555
                  P-value as a function of offset                376
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=6 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.2088   1.0000   0.8375
                  Probability      0.3251   1.0000   0.8375
                  P-value as a function of offset                377
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=7 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               14
                       2     Nonevent             6


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              26.435         28.435          9.285
       SC               27.430         30.426         11.276
       -2 Log L         24.435         24.435          5.285


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.0000        1         1.0000
      Score                    0.0000        1         1.0000
      Wald                     0.0000        1         1.0000


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.8473      0.4880        3.0152        0.0825
x             1           0      0.4880        0.0000        1.0000


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.000       0.384       2.602

NOTE: Measures of association between the observed and predicted 
      values were not calculated because the predicted 
      probabilities are indistinguishable when they are classified 
      into intervals of length 0.002.
                  P-value as a function of offset                378
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=7 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score          4.36E-35   1.0000   0.8142
                  Probability      0.3715   1.0000   0.8142
                  P-value as a function of offset                379
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=8 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               15
                       2     Nonevent             5


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              24.493         26.225          9.037
       SC               25.489         28.217         11.028
       -2 Log L         22.493         22.225          5.037


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.2681        1         0.6046
      Score                    0.2667        1         0.6056
      Wald                     0.2638        1         0.6076


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      1.1167      0.5247        4.5300        0.0333
x             1      0.2695      0.5247        0.2638        0.6076


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.309       0.468       3.661


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     32.0    Somers' D    0.133
         Percent Discordant     18.7    Gamma        0.263
         Percent Tied           49.3    Tau-a        0.053
         Pairs                    75    c            0.567
                  P-value as a function of offset                380
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=8 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.2533   1.0000   0.8259
                  Probability      0.3483   1.0000   0.8259
                  P-value as a function of offset                381
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=9 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               16
                       2     Nonevent             4


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              22.016         22.719          8.539
       SC               23.012         24.710         10.530
       -2 Log L         20.016         18.719          4.539


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         1.2972        1         0.2547
      Score                    1.2500        1         0.2636
      Wald                     1.1480        1         0.2840


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      1.5222      0.6299        5.8395        0.0157
x             1      0.6749      0.6299        1.1480        0.2840


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.964       0.571       6.750


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     42.2    Somers' D    0.313
         Percent Discordant     10.9    Gamma        0.588
         Percent Tied           46.9    Tau-a        0.105
         Pairs                    64    c            0.656
                  P-value as a function of offset                382
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=9 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.1875   0.5820   0.4582
                  Probability      0.2477   0.5820   0.4582
                  P-value as a function of offset                383
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=10 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               17
                       2     Nonevent             3


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              18.908         16.217          6.642
       SC               19.904         18.209          8.634
       -2 Log L         16.908         12.217          2.642


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.6910        1         0.0303
      Score                    3.5294        1         0.0603
      Wald                     0.0034        1         0.9538


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      6.9213       104.9        0.0044        0.9474
x             1      6.0740       104.9        0.0034        0.9538


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          434.402      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     58.8    Somers' D    0.588
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           41.2    Tau-a        0.158
         Pairs                    51    c            0.794
                  P-value as a function of offset                384
                                      16:53 Monday, December 4, 2017

---------------------------- y1=7 y2=10 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.3529   0.2105   0.1579
                  Probability      0.1053   0.2105   0.1579
                  P-value as a function of offset                385
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=0 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                8
                       2     Nonevent            12


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         14.008          6.395
       SC               29.916         16.000          8.386
       -2 Log L         26.920         10.008          2.395


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        16.9123        1         <.0001
      Score                   13.3333        1         0.0003
      Wald                     0.0088        1         0.9252


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -5.4376     72.7014        0.0056        0.9404
x             1     -6.8239     72.7014        0.0088        0.9252


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.001      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     83.3    Somers' D    0.833
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           16.7    Tau-a        0.421
         Pairs                    96    c            0.917
                  P-value as a function of offset                386
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=0 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           12.6667   0.0007   0.0005
                  Probability    0.000357   0.0007   0.0005
                  P-value as a function of offset                387
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=1 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                9
                       2     Nonevent            11


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         20.510          8.291
       SC               30.521         22.501         10.283
       -2 Log L         27.526         16.510          4.291


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        11.0158        1         0.0009
      Score                    9.8990        1         0.0017
      Wald                     7.3968        1         0.0065


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -0.4055      0.6588        0.3788        0.5383
x             1     -1.7918      0.6588        7.3968        0.0065


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.167       0.046       0.606


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     72.7    Somers' D    0.707
         Percent Discordant      2.0    Gamma        0.946
         Percent Tied           25.3    Tau-a        0.368
         Pairs                    99    c            0.854
                  P-value as a function of offset                388
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=1 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            9.4040   0.0055   0.0041
                  Probability     0.00268   0.0055   0.0041
                  P-value as a function of offset                389
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=2 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.726         24.016          8.789
       SC               30.722         26.008         10.781
       -2 Log L         27.726         20.016          4.789


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         7.7098        1         0.0055
      Score                    7.2000        1         0.0073
      Wald                     6.1497        1         0.0131


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1    2.76E-18      0.5590        0.0000        1.0000
x             1     -1.3863      0.5590        6.1497        0.0131


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.250       0.084       0.748


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     64.0    Somers' D    0.600
         Percent Discordant      4.0    Gamma        0.882
         Percent Tied           32.0    Tau-a        0.316
         Pairs                   100    c            0.800
                  P-value as a function of offset                390
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=2 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            6.8400   0.0230   0.0175
                  Probability      0.0110   0.0230   0.0175
                  P-value as a function of offset                391
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=3 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               11
                       2     Nonevent             9


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         26.225          9.037
       SC               30.521         28.217         11.028
       -2 Log L         27.526         22.225          5.037


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.3002        1         0.0213
      Score                    5.0505        1         0.0246
      Wald                     4.5304        1         0.0333


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.2695      0.5247        0.2638        0.6075
x             1     -1.1168      0.5247        4.5304        0.0333


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.327       0.117       0.915


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     56.6    Somers' D    0.505
         Percent Discordant      6.1    Gamma        0.806
         Percent Tied           37.4    Tau-a        0.263
         Pairs                    99    c            0.753
                  P-value as a function of offset                392
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=3 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            4.7980   0.0698   0.0537
                  Probability      0.0322   0.0698   0.0537
                  P-value as a function of offset                393
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=4 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               12
                       2     Nonevent             8


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         27.468          9.161
       SC               29.916         29.460         11.152
       -2 Log L         26.920         23.468          5.161


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         3.4522        1         0.0632
      Score                    3.3333        1         0.0679
      Wald                     3.0820        1         0.0792


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.4904      0.5103        0.9235        0.3366
x             1     -0.8959      0.5103        3.0820        0.0792


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.408       0.150       1.110


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     50.0    Somers' D    0.417
         Percent Discordant      8.3    Gamma        0.714
         Percent Tied           41.7    Tau-a        0.211
         Pairs                    96    c            0.708
                  P-value as a function of offset                394
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=4 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.1667   0.1698   0.1323
                  Probability      0.0750   0.1698   0.1323
                  P-value as a function of offset                395
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=5 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               13
                       2     Nonevent             7


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         27.871          9.199
       SC               28.894         29.862         11.190
       -2 Log L         25.898         23.871          5.199


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         2.0269        1         0.1545
      Score                    1.9780        1         0.1596
      Wald                     1.8749        1         0.1709


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.6931      0.5062        1.8749        0.1709
x             1     -0.6931      0.5062        1.8749        0.1709


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.500       0.185       1.349


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     44.0    Somers' D    0.330
         Percent Discordant     11.0    Gamma        0.600
         Percent Tied           45.1    Tau-a        0.158
         Pairs                    91    c            0.665
                  P-value as a function of offset                396
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=5 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.8791   0.3498   0.2767
                  Probability      0.1463   0.3498   0.2767
                  P-value as a function of offset                397
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=6 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               14
                       2     Nonevent             6


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              26.435         27.468          9.161
       SC               27.430         29.460         11.152
       -2 Log L         24.435         23.468          5.161


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.9663        1         0.3256
      Score                    0.9524        1         0.3291
      Wald                     0.9235        1         0.3365


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.8959      0.5103        3.0820        0.0792
x             1     -0.4904      0.5103        0.9235        0.3365


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.612       0.225       1.665


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     38.1    Somers' D    0.238
         Percent Discordant     14.3    Gamma        0.455
         Percent Tied           47.6    Tau-a        0.105
         Pairs                    84    c            0.619
                  P-value as a function of offset                398
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=6 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.9048   0.6285   0.5066
                  Probability      0.2438   0.6285   0.5066
                  P-value as a function of offset                399
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=7 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               15
                       2     Nonevent             5


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              24.493         26.225          9.037
       SC               25.489         28.217         11.028
       -2 Log L         22.493         22.225          5.037


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.2681        1         0.6046
      Score                    0.2667        1         0.6056
      Wald                     0.2638        1         0.6076


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      1.1167      0.5247        4.5300        0.0333
x             1     -0.2695      0.5247        0.2638        0.6076


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.764       0.273       2.136


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     32.0    Somers' D    0.133
         Percent Discordant     18.7    Gamma        0.263
         Percent Tied           49.3    Tau-a        0.053
         Pairs                    75    c            0.567
                  P-value as a function of offset                400
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=7 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.2533   1.0000   0.8259
                  Probability      0.3483   1.0000   0.8259
                  P-value as a function of offset                401
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=8 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               16
                       2     Nonevent             4


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              22.016         24.016          8.789
       SC               23.012         26.008         10.781
       -2 Log L         20.016         20.016          4.789


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.0000        1         1.0000
      Score                    0.0000        1         1.0000
      Wald                     0.0000        1         1.0000


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      1.3863      0.5590        6.1498        0.0131
x             1           0      0.5590        0.0000        1.0000


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.000       0.334       2.991

NOTE: Measures of association between the observed and predicted 
      values were not calculated because the predicted 
      probabilities are indistinguishable when they are classified 
      into intervals of length 0.002.
                  P-value as a function of offset                402
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=8 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score          9.15E-34   1.0000   0.7910
                  Probability      0.4180   1.0000   0.7910
                  P-value as a function of offset                403
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=9 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               17
                       2     Nonevent             3


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              18.908         20.510          8.291
       SC               19.904         22.501         10.283
       -2 Log L         16.908         16.510          4.291


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.3987        1         0.5278
      Score                    0.3922        1         0.5312
      Wald                     0.3788        1         0.5383


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      1.7918      0.6588        7.3968        0.0065
x             1      0.4055      0.6588        0.3788        0.5383


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.500       0.412       5.456


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     35.3    Somers' D    0.196
         Percent Discordant     15.7    Gamma        0.385
         Percent Tied           49.0    Tau-a        0.053
         Pairs                    51    c            0.598
                  P-value as a function of offset                404
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=9 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.3725   1.0000   0.8026
                  Probability      0.3947   1.0000   0.8026
                  P-value as a function of offset                405
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=10 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               18
                       2     Nonevent             2


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              15.003         14.008          6.395
       SC               15.999         16.000          8.386
       -2 Log L         13.003         10.008          2.395


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         2.9952        1         0.0835
      Score                    2.2222        1         0.1360
      Wald                     0.0051        1         0.9428


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      6.8758     76.5723        0.0081        0.9285
x             1      5.4895     76.5723        0.0051        0.9428


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          242.139      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     55.6    Somers' D    0.556
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           44.4    Tau-a        0.105
         Pairs                    36    c            0.778
                  P-value as a function of offset                406
                                      16:53 Monday, December 4, 2017

---------------------------- y1=8 y2=10 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            2.1111   0.4737   0.3553
                  Probability      0.2368   0.4737   0.3553
                  P-value as a function of offset                407
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=0 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event                9
                       2     Nonevent            11


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         10.502          5.897
       SC               30.521         12.493          7.888
       -2 Log L         27.526          6.502          1.897


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        21.0238        1         <.0001
      Score                   16.3636        1         <.0001
      Wald                     0.0103        1         0.9193


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -5.0105     71.1408        0.0050        0.9439
x             1     -7.2077     71.1408        0.0103        0.9193


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x           <0.001      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     90.9    Somers' D    0.909
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied            9.1    Tau-a        0.474
         Pairs                    99    c            0.955
                  P-value as a function of offset                408
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=0 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           15.5455   0.0001   <.0001
                  Probability    0.000060   0.0001   <.0001
                  P-value as a function of offset                409
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=1 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.726         17.003          7.793
       SC               30.722         18.995          9.784
       -2 Log L         27.726         13.003          3.793


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        14.7226        1         0.0001
      Score                   12.8000        1         0.0003
      Wald                     8.6900        1         0.0032


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1     -18E-19      0.7454        0.0000        1.0000
x             1     -2.1972      0.7454        8.6900        0.0032


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.111       0.026       0.479


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     81.0    Somers' D    0.800
         Percent Discordant      1.0    Gamma        0.976
         Percent Tied           18.0    Tau-a        0.421
         Pairs                   100    c            0.900
                  P-value as a function of offset                410
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=1 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           12.1600   0.0011   0.0008
                  Probability    0.000541   0.0011   0.0008
                  P-value as a function of offset                411
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=2 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               11
                       2     Nonevent             9


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         20.510          8.291
       SC               30.521         22.501         10.283
       -2 Log L         27.526         16.510          4.291


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        11.0158        1         0.0009
      Score                    9.8990        1         0.0017
      Wald                     7.3968        1         0.0065


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.4055      0.6588        0.3788        0.5383
x             1     -1.7918      0.6588        7.3968        0.0065


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.167       0.046       0.606


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     72.7    Somers' D    0.707
         Percent Discordant      2.0    Gamma        0.946
         Percent Tied           25.3    Tau-a        0.368
         Pairs                    99    c            0.854
                  P-value as a function of offset                412
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=2 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            9.4040   0.0055   0.0041
                  Probability     0.00268   0.0055   0.0041
                  P-value as a function of offset                413
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=3 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               12
                       2     Nonevent             8


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         22.719          8.539
       SC               29.916         24.710         10.530
       -2 Log L         26.920         18.719          4.539


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         8.2015        1         0.0042
      Score                    7.5000        1         0.0062
      Wald                     5.8395        1         0.0157


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.6750      0.6299        1.1480        0.2840
x             1     -1.5223      0.6299        5.8395        0.0157


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.218       0.063       0.750


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     65.6    Somers' D    0.625
         Percent Discordant      3.1    Gamma        0.909
         Percent Tied           31.3    Tau-a        0.316
         Pairs                    96    c            0.813
                  P-value as a function of offset                414
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=3 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            7.1250   0.0198   0.0150
                  Probability     0.00953   0.0198   0.0150
                  P-value as a function of offset                415
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=4 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               13
                       2     Nonevent             7


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         23.962          8.663
       SC               28.894         25.953         10.654
       -2 Log L         25.898         19.962          4.663


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         5.9360        1         0.0148
      Score                    5.4945        1         0.0191
      Wald                     4.4339        1         0.0352


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      0.8959      0.6180        2.1014        0.1472
x             1     -1.3013      0.6180        4.4339        0.0352


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.272       0.081       0.914


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     59.3    Somers' D    0.549
         Percent Discordant      4.4    Gamma        0.862
         Percent Tied           36.3    Tau-a        0.263
         Pairs                    91    c            0.775
                  P-value as a function of offset                416
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=4 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            5.2198   0.0573   0.0437
                  Probability      0.0271   0.0573   0.0437
                  P-value as a function of offset                417
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=5 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               14
                       2     Nonevent             6


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              26.435         24.365          8.701
       SC               27.430         26.356         10.692
       -2 Log L         24.435         20.365          4.701


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.0700        1         0.0437
      Score                    3.8095        1         0.0510
      Wald                     3.1949        1         0.0739


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      1.0986      0.6146        3.1949        0.0739
x             1     -1.0986      0.6146        3.1949        0.0739


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.333       0.100       1.112


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     53.6    Somers' D    0.476
         Percent Discordant      6.0    Gamma        0.800
         Percent Tied           40.5    Tau-a        0.211
         Pairs                    84    c            0.738
                  P-value as a function of offset                418
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=5 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.6190   0.1409   0.1084
                  Probability      0.0650   0.1409   0.1084
                  P-value as a function of offset                419
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=6 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               15
                       2     Nonevent             5


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              24.493         23.962          8.663
       SC               25.489         25.953         10.654
       -2 Log L         22.493         19.962          4.663


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         2.5315        1         0.1116
      Score                    2.4000        1         0.1213
      Wald                     2.1014        1         0.1472


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      1.3013      0.6180        4.4339        0.0352
x             1     -0.8959      0.6180        2.1014        0.1472


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.408       0.122       1.371


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     48.0    Somers' D    0.400
         Percent Discordant      8.0    Gamma        0.714
         Percent Tied           44.0    Tau-a        0.158
         Pairs                    75    c            0.700
                  P-value as a function of offset                420
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=6 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            2.2800   0.3034   0.2357
                  Probability      0.1354   0.3034   0.2357
                  P-value as a function of offset                421
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=7 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               16
                       2     Nonevent             4


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              22.016         22.719          8.539
       SC               23.012         24.710         10.530
       -2 Log L         20.016         18.719          4.539


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         1.2972        1         0.2547
      Score                    1.2500        1         0.2636
      Wald                     1.1480        1         0.2840


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      1.5222      0.6299        5.8395        0.0157
x             1     -0.6749      0.6299        1.1480        0.2840


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.509       0.148       1.750


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     42.2    Somers' D    0.313
         Percent Discordant     10.9    Gamma        0.588
         Percent Tied           46.9    Tau-a        0.105
         Pairs                    64    c            0.656
                  P-value as a function of offset                422
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=7 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.1875   0.5820   0.4582
                  Probability      0.2477   0.5820   0.4582
                  P-value as a function of offset                423
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=8 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               17
                       2     Nonevent             3


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              18.908         20.510          8.291
       SC               19.904         22.501         10.283
       -2 Log L         16.908         16.510          4.291


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.3987        1         0.5278
      Score                    0.3922        1         0.5312
      Wald                     0.3788        1         0.5383


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      1.7918      0.6588        7.3968        0.0065
x             1     -0.4055      0.6588        0.3788        0.5383


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.667       0.183       2.425


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     35.3    Somers' D    0.196
         Percent Discordant     15.7    Gamma        0.385
         Percent Tied           49.0    Tau-a        0.053
         Pairs                    51    c            0.598
                  P-value as a function of offset                424
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=8 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            0.3725   1.0000   0.8026
                  Probability      0.3947   1.0000   0.8026
                  P-value as a function of offset                425
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=9 -----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               18
                       2     Nonevent             2


                      Model Convergence Status

           Convergence criterion (GCONV=1E-8) satisfied.          


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              15.003         17.003          7.793
       SC               15.999         18.995          9.784
       -2 Log L         13.003         13.003          3.793


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         0.0000        1         1.0000
      Score                    0.0000        1         1.0000
      Wald                     0.0000        1         1.0000


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      2.1972      0.7454        8.6900        0.0032
x             1           0      0.7454        0.0000        1.0000


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            1.000       0.232       4.310

NOTE: Measures of association between the observed and predicted 
      values were not calculated because the predicted 
      probabilities are indistinguishable when they are classified 
      into intervals of length 0.002.
                  P-value as a function of offset                426
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=9 -----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score                 0   1.0000   0.7368
                  Probability      0.5263   1.0000   0.7368
                  P-value as a function of offset                427
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=10 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               19
                       2     Nonevent             1


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC               9.941         10.502          5.897
       SC               10.936         12.493          7.888
       -2 Log L          7.941          6.502          1.897


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         1.4389        1         0.2303
      Score                    1.0526        1         0.3049
      Wald                     0.0026        1         0.9595


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      7.6116       106.5        0.0051        0.9430
x             1      5.4143       106.5        0.0026        0.9595


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x          224.604      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     52.6    Somers' D    0.526
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           47.4    Tau-a        0.053
         Pairs                    19    c            0.763
                  P-value as a function of offset                428
                                      16:53 Monday, December 4, 2017

---------------------------- y1=9 y2=10 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.0000   1.0000   0.7500
                  Probability      0.5000   1.0000   0.7500
                  P-value as a function of offset                429
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=0 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               10
                       2     Nonevent            10


                      Model Convergence Status

            Complete separation of data points detected.          

WARNING: The maximum likelihood estimate does not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.726          4.004          4.004
       SC               30.722          5.995          5.995
       -2 Log L         27.726          0.004          0.004


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        27.7219        1         <.0001
      Score                   20.0000        1         <.0001
      Wald                     0.1706        1         0.6795


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1           0     22.2781        0.0000        1.0000
x             1     -9.2027     22.2781        0.1706        0.6795


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x           <0.001      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant    100.0    Somers' D    1.000
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied            0.0    Tau-a        0.526
         Pairs                   100    c            1.000
                  P-value as a function of offset                430
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=0 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           19.0000   <.0001   <.0001
                  Probability    5.413E-6   <.0001   <.0001
                  P-value as a function of offset                431
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=1 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               11
                       2     Nonevent             9


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              29.526         10.502          5.897
       SC               30.521         12.493          7.888
       -2 Log L         27.526          6.502          1.897


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        21.0238        1         <.0001
      Score                   16.3636        1         <.0001
      Wald                     0.0103        1         0.9193


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      5.0105     71.1408        0.0050        0.9439
x             1     -7.2077     71.1408        0.0103        0.9193


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x           <0.001      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     90.9    Somers' D    0.909
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied            9.1    Tau-a        0.474
         Pairs                    99    c            0.955
                  P-value as a function of offset                432
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=1 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           15.5455   0.0001   <.0001
                  Probability    0.000060   0.0001   <.0001
                  P-value as a function of offset                433
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=2 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               12
                       2     Nonevent             8


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              28.920         14.008          6.395
       SC               29.916         16.000          8.386
       -2 Log L         26.920         10.008          2.395


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        16.9123        1         <.0001
      Score                   13.3333        1         0.0003
      Wald                     0.0088        1         0.9252


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      5.4376     72.7014        0.0056        0.9404
x             1     -6.8239     72.7014        0.0088        0.9252


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.001      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     83.3    Somers' D    0.833
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           16.7    Tau-a        0.421
         Pairs                    96    c            0.917
                  P-value as a function of offset                434
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=2 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           12.6667   0.0007   0.0005
                  Probability    0.000357   0.0007   0.0005
                  P-value as a function of offset                435
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=3 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               13
                       2     Nonevent             7


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              27.898         16.217          6.642
       SC               28.894         18.209          8.634
       -2 Log L         25.898         12.217          2.642


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        13.6805        1         0.0002
      Score                   10.7692        1         0.0010
      Wald                     0.0077        1         0.9303


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      5.7424     75.3111        0.0058        0.9392
x             1     -6.5897     75.3111        0.0077        0.9303


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.001      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     76.9    Somers' D    0.769
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           23.1    Tau-a        0.368
         Pairs                    91    c            0.885
                  P-value as a function of offset                436
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=3 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score           10.2308   0.0031   0.0023
                  Probability     0.00155   0.0031   0.0023
                  P-value as a function of offset                437
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=4 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               14
                       2     Nonevent             6


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              26.435         17.460          6.766
       SC               27.430         19.452          8.758
       -2 Log L         24.435         13.460          2.766


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio        10.9743        1         0.0009
      Score                    8.5714        1         0.0034
      Wald                     0.0066        1         0.9354


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      6.0131     79.1580        0.0058        0.9394
x             1     -6.4186     79.1580        0.0066        0.9354


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.002      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     71.4    Somers' D    0.714
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           28.6    Tau-a        0.316
         Pairs                    84    c            0.857
                  P-value as a function of offset                438
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=4 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            8.1429   0.0108   0.0081
                  Probability     0.00542   0.0108   0.0081
                  P-value as a function of offset                439
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=5 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               15
                       2     Nonevent             5


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              24.493         17.863          6.804
       SC               25.489         19.854          8.796
       -2 Log L         22.493         13.863          2.804


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         8.6304        1         0.0033
      Score                    6.6667        1         0.0098
      Wald                     0.0055        1         0.9408


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      6.2830     84.6565        0.0055        0.9408
x             1     -6.2830     84.6565        0.0055        0.9408


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.002      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     66.7    Somers' D    0.667
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           33.3    Tau-a        0.263
         Pairs                    75    c            0.833
                  P-value as a function of offset                440
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=5 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            6.3333   0.0325   0.0244
                  Probability      0.0163   0.0325   0.0244
                  P-value as a function of offset                441
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=6 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               16
                       2     Nonevent             4


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              22.016         17.460          6.766
       SC               23.012         19.452          8.758
       -2 Log L         20.016         13.460          2.766


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         6.5558        1         0.0105
      Score                    5.0000        1         0.0253
      Wald                     0.0044        1         0.9469


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      6.5759     92.6408        0.0050        0.9434
x             1     -6.1704     92.6408        0.0044        0.9469


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.002      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     62.5    Somers' D    0.625
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           37.5    Tau-a        0.211
         Pairs                    64    c            0.813
                  P-value as a function of offset                442
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=6 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            4.7500   0.0867   0.0650
                  Probability      0.0433   0.0867   0.0650
                  P-value as a function of offset                443
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=7 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               17
                       2     Nonevent             3


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              18.908         16.217          6.642
       SC               19.904         18.209          8.634
       -2 Log L         16.908         12.217          2.642


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         4.6910        1         0.0303
      Score                    3.5294        1         0.0603
      Wald                     0.0034        1         0.9538


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      6.9213       104.9        0.0044        0.9474
x             1     -6.0740       104.9        0.0034        0.9538


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.002      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     58.8    Somers' D    0.588
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           41.2    Tau-a        0.158
         Pairs                    51    c            0.794
                  P-value as a function of offset                444
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=7 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            3.3529   0.2105   0.1579
                  Probability      0.1053   0.2105   0.1579
                  P-value as a function of offset                445
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=8 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               18
                       2     Nonevent             2


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC              15.003         14.008          6.395
       SC               15.999         16.000          8.386
       -2 Log L         13.003         10.008          2.395


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         2.9952        1         0.0835
      Score                    2.2222        1         0.1360
      Wald                     0.0051        1         0.9428


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      6.8758     76.5723        0.0081        0.9285
x             1     -5.4895     76.5723        0.0051        0.9428


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.004      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     55.6    Somers' D    0.556
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           44.4    Tau-a        0.105
         Pairs                    36    c            0.778
                  P-value as a function of offset                446
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=8 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            2.1111   0.4737   0.3553
                  Probability      0.2368   0.4737   0.3553
                  P-value as a function of offset                447
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=9 ----------------------------

                       The LOGISTIC Procedure

                         Model Information

          Data Set                       WORK.HUGETRY    
          Response Variable (Events)     y               
          Response Variable (Trials)     n               
          Model                          binary logit    
          Optimization Technique         Fisher's scoring


              Number of Observations Read           2
              Number of Observations Used           2
              Sum of Frequencies Read              20
              Sum of Frequencies Used              20


                          Response Profile
 
                 Ordered     Binary           Total
                   Value     Outcome      Frequency

                       1     Event               19
                       2     Nonevent             1


                      Model Convergence Status

         Quasi-complete separation of data points detected.       

WARNING: The maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above 
         warning. Results shown are based on the last maximum 
         likelihood iteration. Validity of the model fit is 
         questionable.


                       Model Fit Statistics
 
                                    Intercept and Covariates
                     Intercept            Log       Full Log
       Criterion          Only     Likelihood     Likelihood

       AIC               9.941         10.502          5.897
       SC               10.936         12.493          7.888
       -2 Log L          7.941          6.502          1.897


              Testing Global Null Hypothesis: BETA=0
 
      Test                 Chi-Square       DF     Pr > ChiSq

      Likelihood Ratio         1.4389        1         0.2303
      Score                    1.0526        1         0.3049
      Wald                     0.0026        1         0.9595


             Analysis of Maximum Likelihood Estimates
 
                               Standard          Wald
Parameter    DF    Estimate       Error    Chi-Square    Pr > ChiSq

Intercept     1      7.6116       106.5        0.0051        0.9430
x             1     -5.4143       106.5        0.0026        0.9595


                        Odds Ratio Estimates
                                  
                          Point          95% Wald
             Effect    Estimate      Confidence Limits

             x            0.004      <0.001    >999.999


   Association of Predicted Probabilities and Observed Responses

         Percent Concordant     52.6    Somers' D    0.526
         Percent Discordant      0.0    Gamma        1.000
         Percent Tied           47.4    Tau-a        0.053
         Pairs                    19    c            0.763
                  P-value as a function of offset                448
                                      16:53 Monday, December 4, 2017

---------------------------- y1=10 y2=9 ----------------------------

                       The LOGISTIC Procedure
 
                     Exact Conditional Analysis

                      Exact Conditional Tests
 
                                            --- p-Value ---
         Effect   Test          Statistic    Exact      Mid

         x        Score            1.0000   1.0000   0.7500
                  Probability      0.5000   1.0000   0.7500
                  P-value as a function of offset                449
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=0 -----------------------------

                         The FREQ Procedure

                          Table of a by b

                     a         b

                     Frequency|
                     Percent  |
                     Row Pct  |
                     Col Pct  |       1|  Total
                     ---------+--------+
                            0 |     10 |     10
                              |  50.00 |  50.00
                              | 100.00 |
                              |  50.00 |
                     ---------+--------+
                            1 |     10 |     10
                              |  50.00 |  50.00
                              | 100.00 |
                              |  50.00 |
                     ---------+--------+
                     Total          20       20
                                100.00   100.00
                  P-value as a function of offset                450
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=1 -----------------------------

                         The FREQ Procedure

                          Table of a by b

                a         b

                Frequency|
                Percent  |
                Row Pct  |
                Col Pct  |       0|       1|  Total
                ---------+--------+--------+
                       0 |      0 |     10 |     10
                         |   0.00 |  50.00 |  50.00
                         |   0.00 | 100.00 |
                         |   0.00 |  52.63 |
                ---------+--------+--------+
                       1 |      1 |      9 |     10
                         |   5.00 |  45.00 |  50.00
                         |  10.00 |  90.00 |
                         | 100.00 |  47.37 |
                ---------+--------+--------+
                Total           1       19       20
                             5.00    95.00   100.00


                   Statistics for Table of a by b

       Statistic                     DF       Value      Prob
       ------------------------------------------------------
       Chi-Square                     1      1.0526    0.3049
       Likelihood Ratio Chi-Square    1      1.4390    0.2303
       Continuity Adj. Chi-Square     1      0.0000    1.0000
       Mantel-Haenszel Chi-Square     1      1.0000    0.3173
       Phi Coefficient                      -0.2294          
       Contingency Coefficient               0.2236          
       Cramer's V                           -0.2294          

     WARNING: 50% of the cells have expected counts less than 5.
              (Asymptotic) Chi-Square may not be a valid test.  


                      Pearson Chi-Square Test
                 ----------------------------------
                 Chi-Square                  1.0526
                 DF                               1
                 Asymptotic Pr >  ChiSq      0.3049
                 Exact      Pr >= ChiSq      1.0000


                        Fisher's Exact Test
                 ----------------------------------
                 Cell (1,1) Frequency (F)         0
                 Left-sided Pr <= F          0.5000
                 Right-sided Pr >= F         1.0000
                                                   
                 Table Probability (P)       0.5000
                 Two-sided Pr <= P           1.0000

                          Sample Size = 20
                  P-value as a function of offset                451
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=2 -----------------------------

                         The FREQ Procedure

                          Table of a by b

                a         b

                Frequency|
                Percent  |
                Row Pct  |
                Col Pct  |       0|       1|  Total
                ---------+--------+--------+
                       0 |      0 |     10 |     10
                         |   0.00 |  50.00 |  50.00
                         |   0.00 | 100.00 |
                         |   0.00 |  55.56 |
                ---------+--------+--------+
                       1 |      2 |      8 |     10
                         |  10.00 |  40.00 |  50.00
                         |  20.00 |  80.00 |
                         | 100.00 |  44.44 |
                ---------+--------+--------+
                Total           2       18       20
                            10.00    90.00   100.00


                   Statistics for Table of a by b

       Statistic                     DF       Value      Prob
       ------------------------------------------------------
       Chi-Square                     1      2.2222    0.1360
       Likelihood Ratio Chi-Square    1      2.9953    0.0835
       Continuity Adj. Chi-Square     1      0.5556    0.4561
       Mantel-Haenszel Chi-Square     1      2.1111    0.1462
       Phi Coefficient                      -0.3333          
       Contingency Coefficient               0.3162          
       Cramer's V                           -0.3333          

     WARNING: 50% of the cells have expected counts less than 5.
              (Asymptotic) Chi-Square may not be a valid test.  


                      Pearson Chi-Square Test
                 ----------------------------------
                 Chi-Square                  2.2222
                 DF                               1
                 Asymptotic Pr >  ChiSq      0.1360
                 Exact      Pr >= ChiSq      0.4737


                        Fisher's Exact Test
                 ----------------------------------
                 Cell (1,1) Frequency (F)         0
                 Left-sided Pr <= F          0.2368
                 Right-sided Pr >= F         1.0000
                                                   
                 Table Probability (P)       0.2368
                 Two-sided Pr <= P           0.4737

                          Sample Size = 20
                  P-value as a function of offset                452
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=3 -----------------------------

                         The FREQ Procedure

                          Table of a by b

                a         b

                Frequency|
                Percent  |
                Row Pct  |
                Col Pct  |       0|       1|  Total
                ---------+--------+--------+
                       0 |      0 |     10 |     10
                         |   0.00 |  50.00 |  50.00
                         |   0.00 | 100.00 |
                         |   0.00 |  58.82 |
                ---------+--------+--------+
                       1 |      3 |      7 |     10
                         |  15.00 |  35.00 |  50.00
                         |  30.00 |  70.00 |
                         | 100.00 |  41.18 |
                ---------+--------+--------+
                Total           3       17       20
                            15.00    85.00   100.00


                   Statistics for Table of a by b

       Statistic                     DF       Value      Prob
       ------------------------------------------------------
       Chi-Square                     1      3.5294    0.0603
       Likelihood Ratio Chi-Square    1      4.6911    0.0303
       Continuity Adj. Chi-Square     1      1.5686    0.2104
       Mantel-Haenszel Chi-Square     1      3.3529    0.0671
       Phi Coefficient                      -0.4201          
       Contingency Coefficient               0.3873          
       Cramer's V                           -0.4201          

     WARNING: 50% of the cells have expected counts less than 5.
              (Asymptotic) Chi-Square may not be a valid test.  


                      Pearson Chi-Square Test
                 ----------------------------------
                 Chi-Square                  3.5294
                 DF                               1
                 Asymptotic Pr >  ChiSq      0.0603
                 Exact      Pr >= ChiSq      0.2105


                        Fisher's Exact Test
                 ----------------------------------
                 Cell (1,1) Frequency (F)         0
                 Left-sided Pr <= F          0.1053
                 Right-sided Pr >= F         1.0000
                                                   
                 Table Probability (P)       0.1053
                 Two-sided Pr <= P           0.2105

                          Sample Size = 20
                  P-value as a function of offset                453
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=4 -----------------------------

                         The FREQ Procedure

                          Table of a by b

                a         b

                Frequency|
                Percent  |
                Row Pct  |
                Col Pct  |       0|       1|  Total
                ---------+--------+--------+
                       0 |      0 |     10 |     10
                         |   0.00 |  50.00 |  50.00
                         |   0.00 | 100.00 |
                         |   0.00 |  62.50 |
                ---------+--------+--------+
                       1 |      4 |      6 |     10
                         |  20.00 |  30.00 |  50.00
                         |  40.00 |  60.00 |
                         | 100.00 |  37.50 |
                ---------+--------+--------+
                Total           4       16       20
                            20.00    80.00   100.00


                   Statistics for Table of a by b

       Statistic                     DF       Value      Prob
       ------------------------------------------------------
       Chi-Square                     1      5.0000    0.0253
       Likelihood Ratio Chi-Square    1      6.5559    0.0105
       Continuity Adj. Chi-Square     1      2.8125    0.0935
       Mantel-Haenszel Chi-Square     1      4.7500    0.0293
       Phi Coefficient                      -0.5000          
       Contingency Coefficient               0.4472          
       Cramer's V                           -0.5000          

     WARNING: 50% of the cells have expected counts less than 5.
              (Asymptotic) Chi-Square may not be a valid test.  


                      Pearson Chi-Square Test
                 ----------------------------------
                 Chi-Square                  5.0000
                 DF                               1
                 Asymptotic Pr >  ChiSq      0.0253
                 Exact      Pr >= ChiSq      0.0867


                        Fisher's Exact Test
                 ----------------------------------
                 Cell (1,1) Frequency (F)         0
                 Left-sided Pr <= F          0.0433
                 Right-sided Pr >= F         1.0000
                                                   
                 Table Probability (P)       0.0433
                 Two-sided Pr <= P           0.0867

                          Sample Size = 20
                  P-value as a function of offset                454
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=5 -----------------------------

                         The FREQ Procedure

                          Table of a by b

                a         b

                Frequency|
                Percent  |
                Row Pct  |
                Col Pct  |       0|       1|  Total
                ---------+--------+--------+
                       0 |      0 |     10 |     10
                         |   0.00 |  50.00 |  50.00
                         |   0.00 | 100.00 |
                         |   0.00 |  66.67 |
                ---------+--------+--------+
                       1 |      5 |      5 |     10
                         |  25.00 |  25.00 |  50.00
                         |  50.00 |  50.00 |
                         | 100.00 |  33.33 |
                ---------+--------+--------+
                Total           5       15       20
                            25.00    75.00   100.00


                   Statistics for Table of a by b

       Statistic                     DF       Value      Prob
       ------------------------------------------------------
       Chi-Square                     1      6.6667    0.0098
       Likelihood Ratio Chi-Square    1      8.6305    0.0033
       Continuity Adj. Chi-Square     1      4.2667    0.0389
       Mantel-Haenszel Chi-Square     1      6.3333    0.0118
       Phi Coefficient                      -0.5774          
       Contingency Coefficient               0.5000          
       Cramer's V                           -0.5774          

     WARNING: 50% of the cells have expected counts less than 5.
              (Asymptotic) Chi-Square may not be a valid test.  


                      Pearson Chi-Square Test
                 ----------------------------------
                 Chi-Square                  6.6667
                 DF                               1
                 Asymptotic Pr >  ChiSq      0.0098
                 Exact      Pr >= ChiSq      0.0325


                        Fisher's Exact Test
                 ----------------------------------
                 Cell (1,1) Frequency (F)         0
                 Left-sided Pr <= F          0.0163
                 Right-sided Pr >= F         1.0000
                                                   
                 Table Probability (P)       0.0163
                 Two-sided Pr <= P           0.0325

                          Sample Size = 20
                  P-value as a function of offset                455
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=6 -----------------------------

                         The FREQ Procedure

                          Table of a by b

                a         b

                Frequency|
                Percent  |
                Row Pct  |
                Col Pct  |       0|       1|  Total
                ---------+--------+--------+
                       0 |      0 |     10 |     10
                         |   0.00 |  50.00 |  50.00
                         |   0.00 | 100.00 |
                         |   0.00 |  71.43 |
                ---------+--------+--------+
                       1 |      6 |      4 |     10
                         |  30.00 |  20.00 |  50.00
                         |  60.00 |  40.00 |
                         | 100.00 |  28.57 |
                ---------+--------+--------+
                Total           6       14       20
                            30.00    70.00   100.00


                   Statistics for Table of a by b

       Statistic                     DF       Value      Prob
       ------------------------------------------------------
       Chi-Square                     1      8.5714    0.0034
       Likelihood Ratio Chi-Square    1     10.9743    0.0009
       Continuity Adj. Chi-Square     1      5.9524    0.0147
       Mantel-Haenszel Chi-Square     1      8.1429    0.0043
       Phi Coefficient                      -0.6547          
       Contingency Coefficient               0.5477          
       Cramer's V                           -0.6547          

     WARNING: 50% of the cells have expected counts less than 5.
              (Asymptotic) Chi-Square may not be a valid test.  


                      Pearson Chi-Square Test
                 ----------------------------------
                 Chi-Square                  8.5714
                 DF                               1
                 Asymptotic Pr >  ChiSq      0.0034
                 Exact      Pr >= ChiSq      0.0108


                        Fisher's Exact Test
                 ----------------------------------
                 Cell (1,1) Frequency (F)         0
                 Left-sided Pr <= F          0.0054
                 Right-sided Pr >= F         1.0000
                                                   
                 Table Probability (P)       0.0054
                 Two-sided Pr <= P           0.0108

                          Sample Size = 20
                  P-value as a function of offset                456
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=7 -----------------------------

                         The FREQ Procedure

                          Table of a by b

                a         b

                Frequency|
                Percent  |
                Row Pct  |
                Col Pct  |       0|       1|  Total
                ---------+--------+--------+
                       0 |      0 |     10 |     10
                         |   0.00 |  50.00 |  50.00
                         |   0.00 | 100.00 |
                         |   0.00 |  76.92 |
                ---------+--------+--------+
                       1 |      7 |      3 |     10
                         |  35.00 |  15.00 |  50.00
                         |  70.00 |  30.00 |
                         | 100.00 |  23.08 |
                ---------+--------+--------+
                Total           7       13       20
                            35.00    65.00   100.00


                   Statistics for Table of a by b

       Statistic                     DF       Value      Prob
       ------------------------------------------------------
       Chi-Square                     1     10.7692    0.0010
       Likelihood Ratio Chi-Square    1     13.6806    0.0002
       Continuity Adj. Chi-Square     1      7.9121    0.0049
       Mantel-Haenszel Chi-Square     1     10.2308    0.0014
       Phi Coefficient                      -0.7338          
       Contingency Coefficient               0.5916          
       Cramer's V                           -0.7338          

     WARNING: 50% of the cells have expected counts less than 5.
              (Asymptotic) Chi-Square may not be a valid test.  


                      Pearson Chi-Square Test
                 ----------------------------------
                 Chi-Square                 10.7692
                 DF                               1
                 Asymptotic Pr >  ChiSq      0.0010
                 Exact      Pr >= ChiSq      0.0031


                        Fisher's Exact Test
                 ----------------------------------
                 Cell (1,1) Frequency (F)         0
                 Left-sided Pr <= F          0.0015
                 Right-sided Pr >= F         1.0000
                                                   
                 Table Probability (P)       0.0015
                 Two-sided Pr <= P           0.0031

                          Sample Size = 20
                  P-value as a function of offset                457
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=8 -----------------------------

                         The FREQ Procedure

                          Table of a by b

                a         b

                Frequency|
                Percent  |
                Row Pct  |
                Col Pct  |       0|       1|  Total
                ---------+--------+--------+
                       0 |      0 |     10 |     10
                         |   0.00 |  50.00 |  50.00
                         |   0.00 | 100.00 |
                         |   0.00 |  83.33 |
                ---------+--------+--------+
                       1 |      8 |      2 |     10
                         |  40.00 |  10.00 |  50.00
                         |  80.00 |  20.00 |
                         | 100.00 |  16.67 |
                ---------+--------+--------+
                Total           8       12       20
                            40.00    60.00   100.00


                   Statistics for Table of a by b

       Statistic                     DF       Value      Prob
       ------------------------------------------------------
       Chi-Square                     1     13.3333    0.0003
       Likelihood Ratio Chi-Square    1     16.9124    <.0001
       Continuity Adj. Chi-Square     1     10.2083    0.0014
       Mantel-Haenszel Chi-Square     1     12.6667    0.0004
       Phi Coefficient                      -0.8165          
       Contingency Coefficient               0.6325          
       Cramer's V                           -0.8165          

     WARNING: 50% of the cells have expected counts less than 5.
              (Asymptotic) Chi-Square may not be a valid test.  


                      Pearson Chi-Square Test
                 ----------------------------------
                 Chi-Square                 13.3333
                 DF                               1
                 Asymptotic Pr >  ChiSq      0.0003
                 Exact      Pr >= ChiSq      0.0007


                        Fisher's Exact Test
                 ----------------------------------
                 Cell (1,1) Frequency (F)         0
                 Left-sided Pr <= F          0.0004
                 Right-sided Pr >= F         1.0000
                                                   
                 Table Probability (P)       0.0004
                 Two-sided Pr <= P           0.0007

                          Sample Size = 20
                  P-value as a function of offset                458
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=9 -----------------------------

                         The FREQ Procedure

                          Table of a by b

                a         b

                Frequency|
                Percent  |
                Row Pct  |
                Col Pct  |       0|       1|  Total
                ---------+--------+--------+
                       0 |      0 |     10 |     10
                         |   0.00 |  50.00 |  50.00
                         |   0.00 | 100.00 |
                         |   0.00 |  90.91 |
                ---------+--------+--------+
                       1 |      9 |      1 |     10
                         |  45.00 |   5.00 |  50.00
                         |  90.00 |  10.00 |
                         | 100.00 |   9.09 |
                ---------+--------+--------+
                Total           9       11       20
                            45.00    55.00   100.00


                   Statistics for Table of a by b

       Statistic                     DF       Value      Prob
       ------------------------------------------------------
       Chi-Square                     1     16.3636    <.0001
       Likelihood Ratio Chi-Square    1     21.0239    <.0001
       Continuity Adj. Chi-Square     1     12.9293    0.0003
       Mantel-Haenszel Chi-Square     1     15.5455    <.0001
       Phi Coefficient                      -0.9045          
       Contingency Coefficient               0.6708          
       Cramer's V                           -0.9045          

     WARNING: 50% of the cells have expected counts less than 5.
              (Asymptotic) Chi-Square may not be a valid test.  


                      Pearson Chi-Square Test
                 ----------------------------------
                 Chi-Square                 16.3636
                 DF                               1
                 Asymptotic Pr >  ChiSq      <.0001
                 Exact      Pr >= ChiSq      0.0001


                        Fisher's Exact Test
                 ----------------------------------
                 Cell (1,1) Frequency (F)         0
                 Left-sided Pr <= F          <.0001
                 Right-sided Pr >= F         1.0000
                                                   
                 Table Probability (P)       <.0001
                 Two-sided Pr <= P           0.0001

                          Sample Size = 20
                  P-value as a function of offset                459
                                      16:53 Monday, December 4, 2017

---------------------------- y1=0 y2=10 ----------------------------

                         The FREQ Procedure

                          Table of a by b

                a         b

                Frequency|
                Percent  |
                Row Pct  |
                Col Pct  |       0|       1|  Total
                ---------+--------+--------+
                       0 |      0 |     10 |     10
                         |   0.00 |  50.00 |  50.00
                         |   0.00 | 100.00 |
                         |   0.00 | 100.00 |
                ---------+--------+--------+
                       1 |     10 |      0 |     10
                         |  50.00 |   0.00 |  50.00
                         | 100.00 |   0.00 |
                         | 100.00 |   0.00 |
                ---------+--------+--------+
                Total          10       10       20
                            50.00    50.00   100.00


                   Statistics for Table of a by b

       Statistic                     DF       Value      Prob
       ------------------------------------------------------
       Chi-Square                     1     20.0000    <.0001
       Likelihood Ratio Chi-Square    1     27.7259    <.0001
       Continuity Adj. Chi-Square     1     16.2000    <.0001
       Mantel-Haenszel Chi-Square     1     19.0000    <.0001
       Phi Coefficient                      -1.0000          
       Contingency Coefficient               0.7071          
       Cramer's V                           -1.0000          


                      Pearson Chi-Square Test
                 ----------------------------------
                 Chi-Square                 20.0000
                 DF                               1
                 Asymptotic Pr >  ChiSq      <.0001
                 Exact      Pr >= ChiSq      <.0001


                        Fisher's Exact Test
                 ----------------------------------
                 Cell (1,1) Frequency (F)         0
                 Left-sided Pr <= F          <.0001
                 Right-sided Pr >= F         1.0000