The SAS System 1 13:25 Tuesday, March 20, 2018 The GENMOD Procedure Model Information Data Set WORK.ONE Distribution Binomial Link Function Logit Dependent Variable death Number of Observations Read 313 Number of Observations Used 313 Number of Events 183 Number of Trials 313 Response Profile Ordered Total Value death Frequency 1 1 183 2 0 130 PROC GENMOD is modeling the probability that death='1'. Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Log Likelihood -212.4462 Full Log Likelihood -212.4462 AIC (smaller is better) 426.8923 AICC (smaller is better) 426.9052 BIC (smaller is better) 430.6385 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Confidence Wald Parameter DF Estimate Error Limits Chi-Square Intercept 1 0.3420 0.1147 0.1171 0.5668 8.89 Scale 0 1.0000 0.0000 1.0000 1.0000 The SAS System 2 13:25 Tuesday, March 20, 2018 The GENMOD Procedure Analysis Of Maximum Likelihood Parameter Estimates Parameter Pr > ChiSq Intercept 0.0029 Scale NOTE: The scale parameter was held fixed. The SAS System 3 13:25 Tuesday, March 20, 2018 The GENMOD Procedure Model Information Data Set WORK.ONE Distribution Binomial Link Function Logit Dependent Variable death Number of Observations Read 313 Number of Observations Used 313 Number of Events 183 Number of Trials 313 Response Profile Ordered Total Value death Frequency 1 1 183 2 0 130 PROC GENMOD is modeling the probability that death='1'. Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Log Likelihood -82.7679 Full Log Likelihood -82.7679 AIC (smaller is better) 169.5359 AICC (smaller is better) 169.5746 BIC (smaller is better) 177.0283 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Confidence Wald Parameter DF Estimate Error Limits Chi-Square Intercept 1 -3.5845 0.4656 -4.4971 -2.6719 59.26 dose 1 2.6941 0.3278 2.0517 3.3365 67.56 Scale 0 1.0000 0.0000 1.0000 1.0000 The SAS System 4 13:25 Tuesday, March 20, 2018 The GENMOD Procedure Analysis Of Maximum Likelihood Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 dose <.0001 Scale NOTE: The scale parameter was held fixed. The SAS System 5 13:25 Tuesday, March 20, 2018 The GENMOD Procedure Model Information Data Set WORK.ONE Distribution Binomial Link Function Logit Dependent Variable death Number of Observations Read 313 Number of Observations Used 313 Number of Events 183 Number of Trials 313 Response Profile Ordered Total Value death Frequency 1 1 183 2 0 130 PROC GENMOD is modeling the probability that death='1'. Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Log Likelihood -81.5302 Full Log Likelihood -81.5302 AIC (smaller is better) 171.0604 AICC (smaller is better) 171.1903 BIC (smaller is better) 186.0452 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Confidence Wald Parameter DF Estimate Error Limits Chi-Square Intercept 1 -3.1452 0.5317 -4.1873 -2.1030 34.99 dose 1 2.6979 0.3302 2.0507 3.3451 66.75 replic2 1 -0.5809 0.5080 -1.5765 0.4147 1.31 replic3 1 -0.7119 0.4745 -1.6419 0.2181 2.25 Scale 0 1.0000 0.0000 1.0000 1.0000 The SAS System 6 13:25 Tuesday, March 20, 2018 The GENMOD Procedure Analysis Of Maximum Likelihood Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 dose <.0001 replic2 0.2528 replic3 0.1335 Scale NOTE: The scale parameter was held fixed.