The SAS System 1 13:30 Tuesday, March 20, 2018 Obs age male agemale survive 1 60 1 60 0 2 45 0 0 0 3 6 0 0 1 4 4 0 0 1 5 3 0 0 1 6 13 0 0 1 7 11 0 0 1 8 56 1 56 0 9 45 0 0 0 10 9 1 9 1 11 7 0 0 1 12 5 1 5 0 13 4 1 4 0 14 3 1 3 0 15 14 1 14 1 16 12 1 12 0 17 16 1 16 1 18 25 1 25 0 19 30 1 30 0 20 45 1 45 1 21 32 0 0 1 22 8 0 0 1 23 6 1 6 1 24 4 1 4 1 25 13 0 0 1 26 31 0 0 1 27 25 1 25 0 28 28 1 28 0 29 27 1 27 1 30 25 1 25 0 31 51 1 51 1 32 40 0 0 1 33 14 1 14 1 34 13 1 13 1 35 9 1 9 1 36 8 1 8 1 37 3 1 3 1 38 5 1 5 1 39 1 0 0 1 40 35 1 35 0 41 30 1 30 1 42 25 0 0 0 43 1 0 0 0 44 3 1 3 0 45 36 0 0 0 46 16 1 16 0 47 14 0 0 1 48 12 1 12 0 49 10 1 10 1 The SAS System 2 13:30 Tuesday, March 20, 2018 Obs age male agemale survive 50 8 1 8 1 51 19 0 0 1 52 30 1 30 1 53 1 1 1 0 54 18 0 0 1 55 32 1 32 0 56 2 0 0 1 57 1 0 0 0 58 32 1 32 1 59 23 0 0 1 60 3 0 0 0 61 1 1 1 0 62 30 1 30 0 63 60 1 60 0 64 26 1 26 0 65 20 0 0 1 66 30 1 30 0 67 30 1 30 0 68 30 1 30 1 69 25 0 0 1 70 1 0 0 0 71 57 1 57 0 72 45 0 0 0 73 19 0 0 1 74 17 1 17 1 75 14 0 0 1 76 12 0 0 1 77 9 0 0 1 78 7 1 7 1 79 5 1 5 0 80 1 0 0 1 81 21 0 0 1 82 23 1 23 0 83 25 1 25 0 84 35 1 35 0 85 25 1 25 0 86 23 1 23 0 87 16 1 16 1 88 19 1 19 0 89 28 1 28 0 The SAS System 3 13:30 Tuesday, March 20, 2018 The GENMOD Procedure Model Information Data Set WORK.ONE Distribution Binomial Link Function Logit Dependent Variable survive Number of Observations Read 89 Number of Observations Used 89 Number of Events 48 Number of Trials 89 Response Profile Ordered Total Value survive Frequency 1 1 48 2 0 41 PROC GENMOD is modeling the probability that survive='1'. Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Log Likelihood -61.4145 Full Log Likelihood -61.4145 AIC (smaller is better) 124.8291 AICC (smaller is better) 124.8750 BIC (smaller is better) 127.3177 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Confidence Wald Parameter DF Estimate Error Limits Chi-Square Intercept 1 0.1576 0.2127 -0.2592 0.5744 0.55 Scale 0 1.0000 0.0000 1.0000 1.0000 The SAS System 4 13:30 Tuesday, March 20, 2018 The GENMOD Procedure Analysis Of Maximum Likelihood Parameter Estimates Parameter Pr > ChiSq Intercept 0.4586 Scale NOTE: The scale parameter was held fixed. The SAS System 5 13:30 Tuesday, March 20, 2018 The GENMOD Procedure Model Information Data Set WORK.ONE Distribution Binomial Link Function Logit Dependent Variable survive Number of Observations Read 89 Number of Observations Used 89 Number of Events 48 Number of Trials 89 Response Profile Ordered Total Value survive Frequency 1 1 48 2 0 41 PROC GENMOD is modeling the probability that survive='1'. Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Log Likelihood -54.5187 Full Log Likelihood -54.5187 AIC (smaller is better) 117.0373 AICC (smaller is better) 117.5135 BIC (smaller is better) 126.9919 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Confidence Wald Parameter DF Estimate Error Limits Chi-Square Intercept 1 1.7589 0.6894 0.4077 3.1101 6.51 age 1 -0.0402 0.0283 -0.0957 0.0153 2.01 male 1 -1.4132 0.8432 -3.0659 0.2395 2.81 agemale 1 0.0078 0.0346 -0.0599 0.0756 0.05 Scale 0 1.0000 0.0000 1.0000 1.0000 The SAS System 6 13:30 Tuesday, March 20, 2018 The GENMOD Procedure Analysis Of Maximum Likelihood Parameter Estimates Parameter Pr > ChiSq Intercept 0.0107 age 0.1558 male 0.0938 agemale 0.8210 Scale NOTE: The scale parameter was held fixed. The SAS System 7 13:30 Tuesday, March 20, 2018 The GENMOD Procedure Model Information Data Set WORK.ONE Distribution Binomial Link Function Logit Dependent Variable survive Number of Observations Read 89 Number of Observations Used 89 Number of Events 48 Number of Trials 89 Response Profile Ordered Total Value survive Frequency 1 1 48 2 0 41 PROC GENMOD is modeling the probability that survive='1'. Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Log Likelihood -56.1470 Full Log Likelihood -56.1470 AIC (smaller is better) 116.2941 AICC (smaller is better) 116.4336 BIC (smaller is better) 121.2713 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Confidence Wald Parameter DF Estimate Error Limits Chi-Square Intercept 1 0.7725 0.2983 0.1879 1.3571 6.71 agemale 1 -0.0469 0.0158 -0.0779 -0.0159 8.78 Scale 0 1.0000 0.0000 1.0000 1.0000 The SAS System 8 13:30 Tuesday, March 20, 2018 The GENMOD Procedure Analysis Of Maximum Likelihood Parameter Estimates Parameter Pr > ChiSq Intercept 0.0096 agemale 0.0031 Scale NOTE: The scale parameter was held fixed.