Obs mr age ed_1 n 1 0 25 35 112 2 0 35 101 306 3 0 45 77 208 4 0 55 53 126 5 1 25 35 60 6 1 35 55 87 7 1 45 44 58 8 1 55 27 29 The GENMOD Procedure Model Information Data Set WORK.ONE Distribution Binomial Link Function Logit Response Variable (Events) ed_1 Response Variable (Trials) n Number of Observations Read 8 Number of Observations Used 8 Number of Events 427 Number of Trials 986 Response Profile Ordered Binary Total Value Outcome Frequency 1 Event 427 2 Nonevent 559 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 7 101.6176 14.5168 Scaled Deviance 7 101.6176 14.5168 Pearson Chi-Square 7 97.1766 13.8824 Scaled Pearson X2 7 97.1766 13.8824 Log Likelihood -674.5808 Full Log Likelihood -69.9091 AIC (smaller is better) 141.8183 AICC (smaller is better) 142.4850 BIC (smaller is better) 141.8977 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Wald Parameter DF Estimate Error Confidence Limits Chi-Square Pr > ChiSq Intercept 1 -0.2694 0.0643 -0.3953 -0.1434 17.56 <.0001 Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. The GENMOD Procedure Model Information Data Set WORK.ONE Distribution Binomial Link Function Logit Response Variable (Events) ed_1 Response Variable (Trials) n Number of Observations Read 8 Number of Observations Used 8 Number of Events 427 Number of Trials 986 Response Profile Ordered Binary Total Value Outcome Frequency 1 Event 427 2 Nonevent 559 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 6 95.6844 15.9474 Scaled Deviance 6 95.6844 15.9474 Pearson Chi-Square 6 91.2744 15.2124 Scaled Pearson X2 6 91.2744 15.2124 Log Likelihood -671.6142 Full Log Likelihood -66.9426 AIC (smaller is better) 137.8851 AICC (smaller is better) 140.2851 BIC (smaller is better) 138.0440 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Wald Parameter DF Estimate Error Confidence Limits Chi-Square Pr > ChiSq Intercept 1 -0.9155 0.2742 -1.4530 -0.3780 11.14 0.0008 age 1 0.0165 0.0068 0.0032 0.0298 5.90 0.0151 Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. The GENMOD Procedure Model Information Data Set WORK.ONE Distribution Binomial Link Function Logit Response Variable (Events) ed_1 Response Variable (Trials) n Number of Observations Read 8 Number of Observations Used 8 Number of Events 427 Number of Trials 986 Response Profile Ordered Binary Total Value Outcome Frequency 1 Event 427 2 Nonevent 559 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 5 7.8012 1.5602 Scaled Deviance 5 7.8012 1.5602 Pearson Chi-Square 5 6.7266 1.3453 Scaled Pearson X2 5 6.7266 1.3453 Log Likelihood -627.6726 Full Log Likelihood -23.0009 AIC (smaller is better) 52.0019 AICC (smaller is better) 58.0019 BIC (smaller is better) 52.2402 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Wald Parameter DF Estimate Error Confidence Limits Chi-Square Pr > ChiSq Intercept 1 -1.6027 0.2992 -2.1892 -1.0162 28.69 <.0001 age 1 0.0250 0.0072 0.0110 0.0391 12.14 0.0005 mr 1 1.4688 0.1636 1.1481 1.7895 80.57 <.0001 Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. The GENMOD Procedure Model Information Data Set WORK.ONE Distribution Binomial Link Function Logit Response Variable (Events) ed_1 Response Variable (Trials) n Number of Observations Read 8 Number of Observations Used 8 Number of Events 427 Number of Trials 986 Response Profile Ordered Binary Total Value Outcome Frequency 1 Event 427 2 Nonevent 559 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 4 2.7998 0.7000 Scaled Deviance 4 2.7998 0.7000 Pearson Chi-Square 4 2.5887 0.6472 Scaled Pearson X2 4 2.5887 0.6472 Log Likelihood -625.1719 Full Log Likelihood -20.5003 AIC (smaller is better) 49.0005 AICC (smaller is better) 62.3338 BIC (smaller is better) 49.3183 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Wald Parameter DF Estimate Error Confidence Limits Chi-Square Pr > ChiSq Intercept 1 -1.2575 0.3349 -1.9138 -0.6012 14.10 0.0002 age 1 0.0164 0.0081 0.0005 0.0324 4.08 0.0435 mr 1 0.0131 0.6770 -1.3137 1.3399 0.00 0.9846 age*mr 1 0.0395 0.0180 0.0041 0.0749 4.79 0.0286 Scale 0 1.0000 0.0000 1.0000 1.0000 The GENMOD Procedure NOTE: The scale parameter was held fixed.