Poisson Regression Model for Nasal Cancer Deaths
                      The GENMOD Procedure
                       Model Information

               Data Set              WORK.NICKEL
               Distribution              Poisson
               Link Function                 Log
               Dependent Variable         ncdeth
               Offset Variable               lpy
               Observations Used              17

                             Log
     Iter    Ridge    Likelihood         Prm1         Prm2

        0        0     -15.80555    -6.131382     0.734546
        1        0    -12.193528    -7.243183    0.9250461
        2        0    -11.582199    -8.042504    1.0939482
        3        0    -11.545976    -8.303499    1.1504684
        4        0    -11.545786    -8.324076    1.1548683
        5        0    -11.545786    -8.324194    1.1548934


             Criteria For Assessing Goodness Of Fit

  Criterion                DF           Value       Value/DF
  Deviance                 15          9.8642        0.6576
  Pearson Chi-Square       15          9.9652        0.6643
  Log Likelihood                     -11.5458     

                Analysis Of Parameter Estimates
                     Standard      Wald 95%        Chi- Pr >
Parameter DF Estimate  Error  Confidence Limits Square ChiSq
Intercept  1  -8.3242 1.1170 -10.5135   -6.1349  55.53 <.0001
exp        1   1.1549 0.2826   0.6011    1.7087  16.71 <.0001
Scale      0   1.0000 0.0000   1.0000    1.0000

           Poisson Regression Model for Other Deaths

                Analysis Of Parameter Estimates
                        Standard       Wald 95%      Chi-
Parameter DF  Estimate    Error   Confidence Limits Square
Intercept  1   -4.4724   0.5044   -5.4610   -3.4837  78.61
exp        1    0.1195   0.2134   -0.2987    0.5378   0.31

             Criteria For Assessing Goodness Of Fit

Criterion                DF           Value    Value/DF
Deviance                 12         14.1703       1.1809
Pearson Chi-Square       12         12.2792       1.0233
Log Likelihood                     -11.2441      


Algorithm converged.                                 


                Analysis Of Parameter Estimates

                      Standard      Wald 95%     Chi- Pr >
Parameter DF Estimate  Error  Confidence Limits Square ChiSq

Intercept  1  -4.7374 1.7492  -8.1658   -1.3090  7.33 0.0068
exp        1   1.3124 0.5184   0.2963    2.3285  6.41 0.0114
Scale      0   1.0000 0.0000   1.0000    1.0000

                       Death penalty data          
                Analysis Of Parameter Estimates

                      Standard     Wald 95%          Chi- Pr>
Parameter DF Estimate   Error Confidence Limits Square ChiSq

Intercept  1   2.0043  0.2444  1.5253    2.4833  67.26 <.0001
bd         1   0.1664  0.3539 -0.5273    0.8601   0.22 0.6382

                       Standard      Wald 95%        Chi- Pr>
Parameter DF Estimate   Error  Confidence Limits Square ChiSq
Intercept  1   1.9581 0.2451   1.4778    2.4384  63.85 <.0001
bd         1  -0.4402 0.4009  -1.2260    0.3455   1.21 0.2722
bv         1   1.3242 0.5193   0.3063    2.3421   6.50 0.0108
Scale      0   1.0000 0.0000   1.0000    1.0000

                Analysis Of Parameter Estimates

                        Standard       Wald 95%         Chi-
Parameter  DF  Estimate   Error   Confidence Limits   Square
bd          1   -0.3850  0.4127   -1.1940    0.4239     0.87
bv          1   22.5680  0.5358   21.5178   23.6182  1773.89
bd*bv       0  -21.3384  0.0000  -21.3384  -21.3384      .
Scale       0    1.0000  0.0000    1.0000    1.0000