Oxford analysis Log-likelihood LL -20.08828 Oxford analysis Standard Wald 95% Confidence Limits Parameter Estimate Error Lower Upper Chi-square INT -6.8987 1.3532 -9.5510 -4.2464 25.99 RISK 2.4880 0.7085 1.0994 3.8766 12.33 AGE 0 1.4906 1.1182 -0.7011 3.6823 1.78 AGE 1 0.0000 0.0000 0.0000 0.0000 . Oxford analysis Exp 95% Confidence Limits Parameter Pr>ChiSq Exp Estimate Lower Upper INT <.0001 0.0010 0.0001 0.0143 RISK 0.0004 12.0369 3.0023 48.2592 AGE 0 0.1825 4.4397 0.4960 39.7371 AGE 1 . 1.0000 1.0000 1.0000 Oxford analysis using PROC GENMOD The GENMOD Procedure Model Information Data Set WORK.WK_SCCS Distribution Poisson Link Function Log Dependent Variable nevt Offset Variable l_off Observations Used 38 Class Level Information Class Levels Values indiv 10 1 2 3 4 5 6 7 8 9 10 age 2 0 1 Parameter Information Parameter Effect indiv age Prm1 Intercept Prm2 indiv 1 Prm3 indiv 2 Prm4 indiv 3 Prm5 indiv 4 Prm6 indiv 5 Prm7 indiv 6 Prm8 indiv 7 Prm9 indiv 8 Prm10 indiv 9 Prm11 indiv 10 Prm12 risk Prm13 age 0 Prm14 age 1 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 26 20.1766 0.7760 Scaled Deviance 26 20.1766 0.7760 Pearson Chi-Square 26 25.0933 0.9651 Scaled Pearson X2 26 25.0933 0.9651 Log Likelihood -20.0883 Oxford analysis using PROC GENMOD The GENMOD Procedure Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Confidence Chi- Parameter DF Estimate Error Limits Square Pr > ChiSq Intercept 1 -6.8987 1.3532 -9.5510 -4.2464 25.99 <.0001 indiv 1 1 -0.7121 1.4627 -3.5789 2.1546 0.24 0.6263 indiv 2 1 -0.7121 1.4627 -3.5789 2.1546 0.24 0.6263 indiv 3 1 -0.7121 1.4627 -3.5789 2.1546 0.24 0.6263 indiv 4 1 -0.7121 1.4627 -3.5789 2.1546 0.24 0.6263 indiv 5 1 -0.7121 1.4627 -3.5789 2.1546 0.24 0.6263 indiv 6 1 -0.7121 1.4627 -3.5789 2.1546 0.24 0.6263 indiv 7 1 -0.7121 1.4627 -3.5789 2.1546 0.24 0.6263 indiv 8 1 -0.7121 1.4627 -3.5789 2.1546 0.24 0.6263 indiv 9 1 -0.7121 1.4627 -3.5789 2.1546 0.24 0.6263 indiv 10 0 0.0000 0.0000 0.0000 0.0000 . . risk 1 2.4880 0.7085 1.0994 3.8766 12.33 0.0004 age 0 1 1.4906 1.1182 -0.7011 3.6823 1.78 0.1825 age 1 0 0.0000 0.0000 0.0000 0.0000 . . Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. Contrast Estimate Results Standard Chi- Label Estimate Error Alpha Confidence Limits Square Pr > ChiSq Risk 2.4880 0.7085 0.05 1.0994 3.8766 12.33 0.0004 Exp(Risk) 12.0369 8.5280 0.05 3.0023 48.2592 Age 1.4906 1.1182 0.05 -0.7011 3.6823 1.78 0.1825 Exp(Age) 4.4397 4.9646 0.05 0.4960 39.7371 Oxford analysis, semiparametric analysis Log-likelihood LL -27.10102 Oxford analysis, semiparametric analysis Standard Wald 95% Confidence Limits Parameter Estimate Error Lower Upper Chi-square INT -1.6340 1.3456 -4.2713 1.0034 1.47 RISK 3.6961 1.4339 0.8856 6.5066 6.64 AGE 0 -0.0000 1.4142 -2.7718 2.7718 0.00 AGE 1 0.0000 1.4142 -2.7718 2.7718 0.00 AGE 2 -2.2489 2.0835 -6.3325 1.8348 1.17 AGE 3 -2.8464 2.0920 -6.9466 1.2537 1.85 AGE 4 -2.8464 2.0920 -6.9466 1.2537 1.85 AGE 5 0.0000 1.4142 -2.7718 2.7718 0.00 AGE 6 -0.8619 1.6599 -4.1153 2.3915 0.27 AGE 7 -1.7239 1.8551 -5.3598 1.9121 0.86 AGE 8 -1.1981 1.8352 -4.7951 2.3988 0.43 AGE 9 0.0000 0.0000 0.0000 0.0000 . Oxford analysis, semiparametric analysis Exp 95% Confidence Limits Parameter Pr>ChiSq Exp Estimate Lower Upper INT 0.2246 0.1952 0.0140 2.7275 RISK 0.0099 40.2912 2.4245 669.5613 AGE 0 1.0000 1.0000 0.0625 15.9874 AGE 1 1.0000 1.0000 0.0625 15.9874 AGE 2 0.2804 0.1055 0.0018 6.2636 AGE 3 0.1736 0.0581 0.0010 3.5035 AGE 4 0.1736 0.0581 0.0010 3.5035 AGE 5 1.0000 1.0000 0.0625 15.9874 AGE 6 0.6036 0.4223 0.0163 10.9295 AGE 7 0.3528 0.1784 0.0047 6.7671 AGE 8 0.5139 0.3018 0.0083 11.0105 AGE 9 . 1.0000 1.0000 1.0000