The SAS System 1 The GENMOD Procedure Model Information Data Set WORK.MIGRAINE Distribution Poisson Link Function Log Dependent Variable Frequency Observations Used 8 Class Level Information Class Levels Values Gender 2 female male Treatment 2 Active Placebo Improve 2 Better Same Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 4 10.4531 2.6133 Scaled Deviance 4 10.4531 2.6133 Pearson Chi-Square 4 10.2787 2.5697 Scaled Pearson X2 4 10.2787 2.5697 Log Likelihood 171.2195 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Confidence Chi- Parameter DF Estimate Error Limits Square Intercept 1 2.7836 0.1855 2.4200 3.1472 225.18 Gender female 1 -0.0377 0.1943 -0.4185 0.3431 0.04 Gender male 0 0.0000 0.0000 0.0000 0.0000 . Treatment Active 1 0.0755 0.1944 -0.3055 0.4565 0.15 Treatment Placebo 0 0.0000 0.0000 0.0000 0.0000 . Improve Better 1 -0.5008 0.2004 -0.8935 -0.1080 6.25 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 Gender female 0.8460 Gender male . Treatment Active 0.6977 Treatment Placebo . Improve Better 0.0124 The SAS System 2 The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Confidence Chi- Parameter DF Estimate Error Limits Square Improve Same 0 0.0000 0.0000 0.0000 0.0000 . Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq Improve Same . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 1 Analysis Chi- Source Deviance DF Square Pr > ChiSq Intercept 17.0847 Gender 17.0470 1 0.04 0.8460 Treatment 16.8960 1 0.15 0.6976 Improve 10.4531 1 6.44 0.0111 LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq Gender 1 0.04 0.8460 Treatment 1 0.15 0.6976 Improve 1 6.44 0.0111 The SAS System 3 The GENMOD Procedure Model Information Data Set WORK.MIGRAINE Distribution Poisson Link Function Log Dependent Variable Frequency Observations Used 8 Class Level Information Class Levels Values Gender 2 female male Treatment 2 Active Placebo Improve 2 Better Same Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 3 10.4531 3.4844 Scaled Deviance 3 10.4531 3.4844 Pearson Chi-Square 3 10.2767 3.4256 Scaled Pearson X2 3 10.2767 3.4256 Log Likelihood 171.2196 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Intercept 1 2.7843 0.2102 2.3724 3.1963 Gender female 1 -0.0392 0.2801 -0.5882 0.5098 Gender male 0 0.0000 0.0000 0.0000 0.0000 Treatment Active 1 0.0741 0.2724 -0.4597 0.6079 Treatment Placebo 0 0.0000 0.0000 0.0000 0.0000 Improve Better 1 -0.5008 0.2004 -0.8935 -0.1080 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Intercept 175.48 <.0001 Gender female 0.02 0.8886 Gender male . . Treatment Active 0.07 0.7855 Treatment Placebo . . Improve Better 6.25 0.0124 The SAS System 4 The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Improve Same 0 0.0000 0.0000 0.0000 0.0000 Gender*Treatment female Active 1 0.0029 0.3889 -0.7593 0.7650 Gender*Treatment female Placebo 0 0.0000 0.0000 0.0000 0.0000 Gender*Treatment male Active 0 0.0000 0.0000 0.0000 0.0000 Gender*Treatment male Placebo 0 0.0000 0.0000 0.0000 0.0000 Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Improve Same . . Gender*Treatment female Active 0.00 0.9941 Gender*Treatment female Placebo . . Gender*Treatment male Active . . Gender*Treatment male Placebo . . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 1 Analysis Chi- Source Deviance DF Square Pr > ChiSq Intercept 17.0847 Gender 17.0470 1 0.04 0.8460 Treatment 16.8960 1 0.15 0.6976 Improve 10.4531 1 6.44 0.0111 Gender*Treatment 10.4531 1 0.00 0.9941 LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq Gender 1 0.04 0.8459 Treatment 1 0.15 0.6976 Improve 1 6.44 0.0111 Gender*Treatment 1 0.00 0.9941 The SAS System 5 The GENMOD Procedure Model Information Data Set WORK.MIGRAINE Distribution Poisson Link Function Log Dependent Variable Frequency Observations Used 8 Class Level Information Class Levels Values Gender 2 female male Treatment 2 Active Placebo Improve 2 Better Same Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 3 10.1483 3.3828 Scaled Deviance 3 10.1483 3.3828 Pearson Chi-Square 3 9.8108 3.2703 Scaled Pearson X2 3 9.8108 3.2703 Log Likelihood 171.3720 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Intercept 1 2.8237 0.1968 2.4379 3.2095 Gender female 1 -0.1214 0.2466 -0.6048 0.3620 Gender male 0 0.0000 0.0000 0.0000 0.0000 Treatment Active 1 0.0755 0.1944 -0.3055 0.4565 Treatment Placebo 0 0.0000 0.0000 0.0000 0.0000 Improve Better 1 -0.6109 0.2850 -1.1694 -0.0524 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Intercept 205.79 <.0001 Gender female 0.24 0.6227 Gender male . . Treatment Active 0.15 0.6977 Treatment Placebo . . Improve Better 4.60 0.0320 The SAS System 6 The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Improve Same 0 0.0000 0.0000 0.0000 0.0000 Gender*Improve female Better 1 0.2214 0.4013 -0.5652 1.0081 Gender*Improve female Same 0 0.0000 0.0000 0.0000 0.0000 Gender*Improve male Better 0 0.0000 0.0000 0.0000 0.0000 Gender*Improve male Same 0 0.0000 0.0000 0.0000 0.0000 Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Improve Same . . Gender*Improve female Better 0.30 0.5811 Gender*Improve female Same . . Gender*Improve male Better . . Gender*Improve male Same . . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 1 Analysis Chi- Source Deviance DF Square Pr > ChiSq Intercept 17.0847 Gender 17.0470 1 0.04 0.8460 Treatment 16.8960 1 0.15 0.6976 Improve 10.4531 1 6.44 0.0111 Gender*Improve 10.1483 1 0.30 0.5808 LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq Gender 1 0.00 0.9577 Treatment 1 0.15 0.6976 Improve 1 6.41 0.0114 Gender*Improve 1 0.30 0.5808 The SAS System 7 The GENMOD Procedure Model Information Data Set WORK.MIGRAINE Distribution Poisson Link Function Log Dependent Variable Frequency Observations Used 8 Class Level Information Class Levels Values Gender 2 female male Treatment 2 Active Placebo Improve 2 Better Same Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 3 1.8275 0.6092 Scaled Deviance 3 1.8275 0.6092 Pearson Chi-Square 3 1.8192 0.6064 Scaled Pearson X2 3 1.8192 0.6064 Log Likelihood 175.5324 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Intercept 1 2.9891 0.1863 2.6239 3.3543 Gender female 1 -0.0377 0.1943 -0.4185 0.3431 Gender male 0 0.0000 0.0000 0.0000 0.0000 Treatment Active 1 -0.3677 0.2504 -0.8584 0.1230 Treatment Placebo 0 0.0000 0.0000 0.0000 0.0000 Improve Better 1 -1.1787 0.3301 -1.8257 -0.5316 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Intercept 257.30 <.0001 Gender female 0.04 0.8460 Gender male . . Treatment Active 2.16 0.1419 Treatment Placebo . . Improve Better 12.75 0.0004 The SAS System 8 The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Improve Same 0 0.0000 0.0000 0.0000 0.0000 Treatment*Improve Active Better 1 1.2150 0.4263 0.3795 2.0505 Treatment*Improve Active Same 0 0.0000 0.0000 0.0000 0.0000 Treatment*Improve Placebo Better 0 0.0000 0.0000 0.0000 0.0000 Treatment*Improve Placebo Same 0 0.0000 0.0000 0.0000 0.0000 Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Improve Same . . Treatment*Improve Active Better 8.12 0.0044 Treatment*Improve Active Same . . Treatment*Improve Placebo Better . . Treatment*Improve Placebo Same . . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 1 Analysis Chi- Source Deviance DF Square Pr > ChiSq Intercept 17.0847 Gender 17.0470 1 0.04 0.8460 Treatment 16.8960 1 0.15 0.6976 Improve 10.4531 1 6.44 0.0111 Treatment*Improve 1.8275 1 8.63 0.0033 LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq Gender 1 0.04 0.8460 Treatment 1 1.29 0.2557 Improve 1 7.58 0.0059 Treatment*Improve 1 8.63 0.0033 The SAS System 9 The GENMOD Procedure Model Information Data Set WORK.MIGRAINE Distribution Poisson Link Function Log Dependent Variable Frequency Observations Used 8 Class Level Information Class Levels Values Gender 2 female male Treatment 2 Active Placebo Improve 2 Better Same Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 2 10.1482 5.0741 Scaled Deviance 2 10.1482 5.0741 Pearson Chi-Square 2 9.8111 4.9055 Scaled Pearson X2 2 9.8111 4.9055 Log Likelihood 171.3720 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Intercept 1 2.8245 0.2203 2.3928 3.2562 Gender female 1 -0.1228 0.3187 -0.7474 0.5017 Gender male 0 0.0000 0.0000 0.0000 0.0000 Treatment Active 1 0.0741 0.2724 -0.4597 0.6079 Treatment Placebo 0 0.0000 0.0000 0.0000 0.0000 Improve Better 1 -0.6109 0.2850 -1.1694 -0.0524 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Intercept 164.44 <.0001 Gender female 0.15 0.6999 Gender male . . Treatment Active 0.07 0.7855 Treatment Placebo . . Improve Better 4.60 0.0320 The SAS System 10 The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Improve Same 0 0.0000 0.0000 0.0000 0.0000 Gender*Treatment female Active 1 0.0029 0.3889 -0.7593 0.7650 Gender*Treatment female Placebo 0 0.0000 0.0000 0.0000 0.0000 Gender*Treatment male Active 0 0.0000 0.0000 0.0000 0.0000 Gender*Treatment male Placebo 0 0.0000 0.0000 0.0000 0.0000 Gender*Improve female Better 1 0.2214 0.4013 -0.5652 1.0081 Gender*Improve female Same 0 0.0000 0.0000 0.0000 0.0000 Gender*Improve male Better 0 0.0000 0.0000 0.0000 0.0000 Gender*Improve male Same 0 0.0000 0.0000 0.0000 0.0000 Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Improve Same . . Gender*Treatment female Active 0.00 0.9941 Gender*Treatment female Placebo . . Gender*Treatment male Active . . Gender*Treatment male Placebo . . Gender*Improve female Better 0.30 0.5811 Gender*Improve female Same . . Gender*Improve male Better . . Gender*Improve male Same . . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 1 Analysis Chi- Source Deviance DF Square Pr > ChiSq Intercept 17.0847 Gender 17.0470 1 0.04 0.8460 Treatment 16.8960 1 0.15 0.6976 Improve 10.4531 1 6.44 0.0111 Gender*Treatment 10.4531 1 0.00 0.9941 Gender*Improve 10.1482 1 0.30 0.5808 LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq Gender 1 0.00 0.9575 Treatment 1 0.15 0.6976 Improve 1 6.41 0.0114 The SAS System 11 The GENMOD Procedure LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq Gender*Treatment 1 0.00 0.9941 Gender*Improve 1 0.30 0.5808 The SAS System 12 The GENMOD Procedure Model Information Data Set WORK.MIGRAINE Distribution Poisson Link Function Log Dependent Variable Frequency Observations Used 8 Class Level Information Class Levels Values Gender 2 female male Treatment 2 Active Placebo Improve 2 Better Same Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 2 1.8274 0.9137 Scaled Deviance 2 1.8274 0.9137 Pearson Chi-Square 2 1.8192 0.9096 Scaled Pearson X2 2 1.8192 0.9096 Log Likelihood 175.5324 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Intercept 1 2.9898 0.2109 2.5764 3.4033 Gender female 1 -0.0392 0.2801 -0.5882 0.5098 Gender male 0 0.0000 0.0000 0.0000 0.0000 Treatment Active 1 -0.3691 0.3147 -0.9860 0.2478 Treatment Placebo 0 0.0000 0.0000 0.0000 0.0000 Improve Better 1 -1.1787 0.3301 -1.8257 -0.5316 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Intercept 200.90 <.0001 Gender female 0.02 0.8886 Gender male . . Treatment Active 1.38 0.2409 Treatment Placebo . . Improve Better 12.75 0.0004 The SAS System 13 The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Improve Same 0 0.0000 0.0000 0.0000 0.0000 Gender*Treatment female Active 1 0.0029 0.3889 -0.7593 0.7650 Gender*Treatment female Placebo 0 0.0000 0.0000 0.0000 0.0000 Gender*Treatment male Active 0 0.0000 0.0000 0.0000 0.0000 Gender*Treatment male Placebo 0 0.0000 0.0000 0.0000 0.0000 Treatment*Improve Active Better 1 1.2150 0.4263 0.3795 2.0505 Treatment*Improve Active Same 0 0.0000 0.0000 0.0000 0.0000 Treatment*Improve Placebo Better 0 0.0000 0.0000 0.0000 0.0000 Treatment*Improve Placebo Same 0 0.0000 0.0000 0.0000 0.0000 Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Improve Same . . Gender*Treatment female Active 0.00 0.9941 Gender*Treatment female Placebo . . Gender*Treatment male Active . . Gender*Treatment male Placebo . . Treatment*Improve Active Better 8.12 0.0044 Treatment*Improve Active Same . . Treatment*Improve Placebo Better . . Treatment*Improve Placebo Same . . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 1 Analysis Chi- Source Deviance DF Square Pr > ChiSq Intercept 17.0847 Gender 17.0470 1 0.04 0.8460 Treatment 16.8960 1 0.15 0.6976 Improve 10.4531 1 6.44 0.0111 Gender*Treatment 10.4531 1 0.00 0.9941 Treatment*Improve 1.8274 1 8.63 0.0033 LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq Gender 1 0.04 0.8459 Treatment 1 1.29 0.2557 Improve 1 7.58 0.0059 The SAS System 14 The GENMOD Procedure LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq Gender*Treatment 1 0.00 0.9941 Treatment*Improve 1 8.63 0.0033 The SAS System 15 The GENMOD Procedure Model Information Data Set WORK.MIGRAINE Distribution Poisson Link Function Log Dependent Variable Frequency Observations Used 8 Class Level Information Class Levels Values Gender 2 female male Treatment 2 Active Placebo Improve 2 Better Same Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 2 1.5226 0.7613 Scaled Deviance 2 1.5226 0.7613 Pearson Chi-Square 2 1.5185 0.7593 Scaled Pearson X2 2 1.5185 0.7593 Log Likelihood 175.6848 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Intercept 1 3.0293 0.1976 2.6419 3.4166 Gender female 1 -0.1214 0.2466 -0.6048 0.3620 Gender male 0 0.0000 0.0000 0.0000 0.0000 Treatment Active 1 -0.3677 0.2504 -0.8584 0.1230 Treatment Placebo 0 0.0000 0.0000 0.0000 0.0000 Improve Better 1 -1.2888 0.3873 -2.0479 -0.5296 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Intercept 234.92 <.0001 Gender female 0.24 0.6227 Gender male . . Treatment Active 2.16 0.1419 Treatment Placebo . . Improve Better 11.07 0.0009 The SAS System 16 The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Improve Same 0 0.0000 0.0000 0.0000 0.0000 Gender*Improve female Better 1 0.2214 0.4013 -0.5652 1.0081 Gender*Improve female Same 0 0.0000 0.0000 0.0000 0.0000 Gender*Improve male Better 0 0.0000 0.0000 0.0000 0.0000 Gender*Improve male Same 0 0.0000 0.0000 0.0000 0.0000 Treatment*Improve Active Better 1 1.2150 0.4263 0.3795 2.0505 Treatment*Improve Active Same 0 0.0000 0.0000 0.0000 0.0000 Treatment*Improve Placebo Better 0 0.0000 0.0000 0.0000 0.0000 Treatment*Improve Placebo Same 0 0.0000 0.0000 0.0000 0.0000 Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Improve Same . . Gender*Improve female Better 0.30 0.5811 Gender*Improve female Same . . Gender*Improve male Better . . Gender*Improve male Same . . Treatment*Improve Active Better 8.12 0.0044 Treatment*Improve Active Same . . Treatment*Improve Placebo Better . . Treatment*Improve Placebo Same . . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 1 Analysis Chi- Source Deviance DF Square Pr > ChiSq Intercept 17.0847 Gender 17.0470 1 0.04 0.8460 Treatment 16.8960 1 0.15 0.6976 Improve 10.4531 1 6.44 0.0111 Gender*Improve 10.1483 1 0.30 0.5808 Treatment*Improve 1.5226 1 8.63 0.0033 LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq Gender 1 0.00 0.9577 Treatment 1 1.29 0.2557 Improve 1 7.55 0.0060 The SAS System 17 The GENMOD Procedure LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq Gender*Improve 1 0.30 0.5808 Treatment*Improve 1 8.63 0.0033 The SAS System 18 The GENMOD Procedure Model Information Data Set WORK.MIGRAINE Distribution Poisson Link Function Log Dependent Variable Frequency Observations Used 8 Class Level Information Class Levels Values Gender 2 female male Treatment 2 Active Placebo Improve 2 Better Same Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 1 1.4986 1.4986 Scaled Deviance 1 1.4986 1.4986 Pearson Chi-Square 1 1.4966 1.4966 Scaled Pearson X2 1 1.4966 1.4966 Log Likelihood 175.6968 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Intercept 1 3.0171 0.2137 2.5983 3.4359 Gender female 1 -0.0956 0.2972 -0.6781 0.4868 Gender male 0 0.0000 0.0000 0.0000 0.0000 Treatment Active 1 -0.3382 0.3141 -0.9538 0.2773 Treatment Placebo 0 0.0000 0.0000 0.0000 0.0000 Improve Better 1 -1.3000 0.3962 -2.0766 -0.5234 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Intercept 199.35 <.0001 Gender female 0.10 0.7476 Gender male . . Treatment Active 1.16 0.2815 Treatment Placebo . . Improve Better 10.77 0.0010 The SAS System 19 The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Improve Same 0 0.0000 0.0000 0.0000 0.0000 Gender*Improve female Better 1 0.2398 0.4186 -0.5807 1.0603 Gender*Improve female Same 0 0.0000 0.0000 0.0000 0.0000 Gender*Improve male Better 0 0.0000 0.0000 0.0000 0.0000 Gender*Improve male Same 0 0.0000 0.0000 0.0000 0.0000 Treatment*Improve Active Better 1 1.2188 0.4271 0.3816 2.0560 Treatment*Improve Active Same 0 0.0000 0.0000 0.0000 0.0000 Treatment*Improve Placebo Better 0 0.0000 0.0000 0.0000 0.0000 Treatment*Improve Placebo Same 0 0.0000 0.0000 0.0000 0.0000 Gender*Treatment female Active 1 -0.0630 0.4062 -0.8590 0.7331 Gender*Treatment female Placebo 0 0.0000 0.0000 0.0000 0.0000 Gender*Treatment male Active 0 0.0000 0.0000 0.0000 0.0000 Gender*Treatment male Placebo 0 0.0000 0.0000 0.0000 0.0000 Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Improve Same . . Gender*Improve female Better 0.33 0.5667 Gender*Improve female Same . . Gender*Improve male Better . . Gender*Improve male Same . . Treatment*Improve Active Better 8.14 0.0043 Treatment*Improve Active Same . . Treatment*Improve Placebo Better . . Treatment*Improve Placebo Same . . Gender*Treatment female Active 0.02 0.8768 Gender*Treatment female Placebo . . Gender*Treatment male Active . . Gender*Treatment male Placebo . . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 1 Analysis Chi- Source Deviance DF Square Pr > ChiSq Intercept 17.0847 Gender 17.0470 1 0.04 0.8460 Treatment 16.8960 1 0.15 0.6976 Improve 10.4531 1 6.44 0.0111 Gender*Improve 10.1483 1 0.30 0.5808 Treatment*Improve 1.5226 1 8.63 0.0033 Gender*Treatment 1.4986 1 0.02 0.8768 The SAS System 20 The GENMOD Procedure LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq Gender 1 0.00 0.9715 Treatment 1 1.29 0.2560 Improve 1 7.55 0.0060 Gender*Improve 1 0.33 0.5663 Treatment*Improve 1 8.65 0.0033 Gender*Treatment 1 0.02 0.8768 The SAS System 21 The GENMOD Procedure Model Information Data Set WORK.MIGRAINE Distribution Poisson Link Function Log Dependent Variable Frequency Observations Used 8 Class Level Information Class Levels Values Gender 2 female male Treatment 2 Active Placebo Improve 2 Better Same Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 0 0.0000 . Scaled Deviance 0 0.0000 . Pearson Chi-Square 0 0.0000 . Scaled Pearson X2 0 0.0000 . Log Likelihood 176.4461 Algorithm converged. Analysis Of Parameter Estimates Standard Parameter DF Estimate Error Intercept 1 2.9444 0.2294 Gender female 1 0.0513 0.3204 Analysis Of Parameter Estimates Wald 95% Chi- Parameter Confidence Limits Square Intercept 2.4948 3.3941 164.72 Gender female -0.5766 0.6792 0.03 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 Gender female 0.8728 The SAS System 22 The GENMOD Procedure Analysis Of Parameter Estimates Standard Parameter DF Estimate Error Gender male 0 0.0000 0.0000 Treatment Active 1 -0.1719 0.3393 Treatment Placebo 0 0.0000 0.0000 Improve Better 1 -0.9985 0.4421 Improve Same 0 0.0000 0.0000 Gender*Improve female Better 1 -0.3878 0.6674 Gender*Improve female Same 0 0.0000 0.0000 Gender*Improve male Better 0 0.0000 0.0000 Gender*Improve male Same 0 0.0000 0.0000 Treatment*Improve Active Better 1 0.7108 0.5842 Treatment*Improve Active Same 0 0.0000 0.0000 Treatment*Improve Placebo Better 0 0.0000 0.0000 Treatment*Improve Placebo Same 0 0.0000 0.0000 Gender*Treatment female Active 1 -0.4260 0.5060 Gender*Treatment female Placebo 0 0.0000 0.0000 Gender*Treatment male Active 0 0.0000 0.0000 Gender*Treatment male Placebo 0 0.0000 0.0000 Gender*Treatm*Improv female Active Better 1 1.0501 0.8630 Gender*Treatm*Improv female Active Same 0 0.0000 0.0000 Gender*Treatm*Improv female Placebo Better 0 0.0000 0.0000 Gender*Treatm*Improv female Placebo Same 0 0.0000 0.0000 Gender*Treatm*Improv male Active Better 0 0.0000 0.0000 Gender*Treatm*Improv male Active Same 0 0.0000 0.0000 Gender*Treatm*Improv male Placebo Better 0 0.0000 0.0000 Gender*Treatm*Improv male Placebo Same 0 0.0000 0.0000 Scale 0 1.0000 0.0000 Analysis Of Parameter Estimates Wald 95% Chi- Parameter Confidence Limits Square Gender male 0.0000 0.0000 . Treatment Active -0.8369 0.4932 0.26 Treatment Placebo 0.0000 0.0000 . Improve Better -1.8651 -0.1319 5.10 Improve Same 0.0000 0.0000 . Gender*Improve female Better -1.6959 0.9204 0.34 Gender*Improve female Same 0.0000 0.0000 . Gender*Improve male Better 0.0000 0.0000 . Gender*Improve male Same 0.0000 0.0000 . Treatment*Improve Active Better -0.4342 1.8559 1.48 Treatment*Improve Active Same 0.0000 0.0000 . Treatment*Improve Placebo Better 0.0000 0.0000 . Treatment*Improve Placebo Same 0.0000 0.0000 . Gender*Treatment female Active -1.4177 0.5658 0.71 Gender*Treatment female Placebo 0.0000 0.0000 . Gender*Treatment male Active 0.0000 0.0000 . Gender*Treatment male Placebo 0.0000 0.0000 . Gender*Treatm*Improv female Active Better -0.6413 2.7415 1.48 Gender*Treatm*Improv female Active Same 0.0000 0.0000 . The SAS System 23 The GENMOD Procedure Analysis Of Parameter Estimates Wald 95% Chi- Parameter Confidence Limits Square Gender*Treatm*Improv female Placebo Better 0.0000 0.0000 . Gender*Treatm*Improv female Placebo Same 0.0000 0.0000 . Gender*Treatm*Improv male Active Better 0.0000 0.0000 . Gender*Treatm*Improv male Active Same 0.0000 0.0000 . Gender*Treatm*Improv male Placebo Better 0.0000 0.0000 . Gender*Treatm*Improv male Placebo Same 0.0000 0.0000 . Scale 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq Gender male . Treatment Active 0.6125 Treatment Placebo . Improve Better 0.0239 Improve Same . Gender*Improve female Better 0.5613 Gender*Improve female Same . Gender*Improve male Better . Gender*Improve male Same . Treatment*Improve Active Better 0.2237 Treatment*Improve Active Same . Treatment*Improve Placebo Better . Treatment*Improve Placebo Same . Gender*Treatment female Active 0.3999 Gender*Treatment female Placebo . Gender*Treatment male Active . Gender*Treatment male Placebo . Gender*Treatm*Improv female Active Better 0.2236 Gender*Treatm*Improv female Active Same . Gender*Treatm*Improv female Placebo Better . Gender*Treatm*Improv female Placebo Same . Gender*Treatm*Improv male Active Better . Gender*Treatm*Improv male Active Same . Gender*Treatm*Improv male Placebo Better . Gender*Treatm*Improv male Placebo Same . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 1 Analysis Chi- Source Deviance DF Square Pr > ChiSq Intercept 17.0847 Gender 17.0470 1 0.04 0.8460 Treatment 16.8960 1 0.15 0.6976 The SAS System 24 The GENMOD Procedure LR Statistics For Type 1 Analysis Chi- Source Deviance DF Square Pr > ChiSq Improve 10.4531 1 6.44 0.0111 Gender*Improve 10.1483 1 0.30 0.5808 Treatment*Improve 1.5226 1 8.63 0.0033 Gender*Treatment 1.4986 1 0.02 0.8768 Gender*Treatm*Improv 0.0000 1 1.50 0.2209 LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq Gender 1 0.19 0.6656 Treatment 1 1.19 0.2750 Improve 1 7.50 0.0062 Gender*Improve 1 0.10 0.7506 Treatment*Improve 1 8.74 0.0031 Gender*Treatment 1 0.05 0.8182 Gender*Treatm*Improv 1 1.50 0.2209