Saturated model without indicator 1 The GENMOD Procedure Model Information Data Set WORK.CONCERNS Distribution Poisson Link Function Log Dependent Variable count Observations Used 16 Class Level Information Class Levels Values age 2 1 2 gender 2 male female health 4 sex mens healthy none 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 720.5547 WARNING: Negative of Hessian not positive definite. Analysis Of Parameter Estimates Likelihood Ratio Standard 95% Confidence Parameter DF Estimate Error Limits Intercept 1 3.4340 0.1796 3.0820 3.7860 age 1 1 0.8287 0.2153 0.4068 1.2506 age 2 0 0.0000 0.0000 0.0000 0.0000 gender male 1 -0.4383 0.2868 -1.0004 0.1239 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Intercept 365.56 <.0001 age 1 14.82 0.0001 age 2 . . gender male 2.33 0.1265 Saturated model without indicator 2 The GENMOD Procedure Analysis Of Parameter Estimates Likelihood Ratio Standard 95% Confidence Parameter DF Estimate Error Limits gender female 0 0.0000 0.0000 0.0000 0.0000 health sex 1 -1.4881 0.4185 -2.3083 -0.6679 health mens 1 -1.3545 0.3966 -2.1318 -0.5773 health healthy 1 -1.1314 0.3637 -1.8442 -0.4186 health none 0 0.0000 0.0000 0.0000 0.0000 age*health 1 sex 1 -0.5774 0.5480 -1.6515 0.4967 age*health 1 mens 1 -1.5218 0.6491 -2.7941 -0.2496 age*health 1 healthy 1 -0.1868 0.4461 -1.0611 0.6874 age*health 1 none 0 0.0000 0.0000 0.0000 0.0000 age*health 2 sex 0 0.0000 0.0000 0.0000 0.0000 age*health 2 mens 0 0.0000 0.0000 0.0000 0.0000 age*health 2 healthy 0 0.0000 0.0000 0.0000 0.0000 age*health 2 none 0 0.0000 0.0000 0.0000 0.0000 age*gender 1 male 1 0.2186 0.3375 -0.4428 0.8801 age*gender 1 female 0 0.0000 0.0000 0.0000 0.0000 age*gender 2 male 0 0.0000 0.0000 0.0000 0.0000 age*gender 2 female 0 0.0000 0.0000 0.0000 0.0000 gender*health male sex 1 -0.8145 0.8515 -2.4835 0.8545 gender*health male mens 1 -23.0000 43451.76 -85186.9 85140.89 gender*health male healthy 1 0.0816 0.5702 -1.0360 1.1991 gender*health male none 0 0.0000 0.0000 0.0000 0.0000 gender*health female sex 0 0.0000 0.0000 0.0000 0.0000 gender*health female mens 0 0.0000 0.0000 0.0000 0.0000 gender*health female healthy 0 0.0000 0.0000 0.0000 0.0000 gender*health female none 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 1 male sex 1 0.2232 1.0573 -1.8490 2.2954 age*gender*health 1 male mens 1 0.0000 70161.40 -137514 137513.8 age*gender*health 1 male healthy 1 0.9313 0.6582 -0.3587 2.2213 age*gender*health 1 male none 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 1 female sex 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 1 female mens 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 1 female healthy 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 1 female none 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 male sex 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 male mens 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 male healthy 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 male none 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 female sex 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 female mens 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 female healthy 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 female none 0 0.0000 0.0000 0.0000 0.0000 Scale 0 1.0000 0.0000 1.0000 1.0000 Saturated model without indicator 3 The GENMOD Procedure Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq gender female . . health sex 12.65 0.0004 health mens 11.67 0.0006 health healthy 9.68 0.0019 health none . . age*health 1 sex 1.11 0.2921 age*health 1 mens 5.50 0.0191 age*health 1 healthy 0.18 0.6753 age*health 1 none . . age*health 2 sex . . age*health 2 mens . . age*health 2 healthy . . age*health 2 none . . age*gender 1 male 0.42 0.5171 age*gender 1 female . . age*gender 2 male . . age*gender 2 female . . gender*health male sex 0.91 0.3388 gender*health male mens 0.00 0.9996 gender*health male healthy 0.02 0.8862 gender*health male none . . gender*health female sex . . gender*health female mens . . gender*health female healthy . . gender*health female none . . age*gender*health 1 male sex 0.04 0.8328 age*gender*health 1 male mens 0.00 1.0000 age*gender*health 1 male healthy 2.00 0.1571 age*gender*health 1 male none . . age*gender*health 1 female sex . . age*gender*health 1 female mens . . age*gender*health 1 female healthy . . age*gender*health 1 female none . . age*gender*health 2 male sex . . age*gender*health 2 male mens . . age*gender*health 2 male healthy . . age*gender*health 2 male none . . age*gender*health 2 female sex . . age*gender*health 2 female mens . . age*gender*health 2 female healthy . . age*gender*health 2 female none . . Scale NOTE: The scale parameter was held fixed. Saturated model without indicator 4 The GENMOD Procedure Observation Statistics Observation count age gender health Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 4 1 male sex 4 1.3862944 0.5 4 1.5012714 10.657633 -8.88E-16 -4.44E-16 0 0 -1.885E-8 -1.885E-8 2 0 1 male mens 3.295E-10 -21.83333 55086.895 3.295E-10 0 . -3.3E-10 -0.000018 -0.000026 . . . 3 42 1 male healthy 42 3.7376696 0.1543033 42 31.03888 56.831948 -7.11E-15 -1.1E-15 0 0 -1.885E-8 -1.885E-8 4 57 1 male none 57 4.0430513 0.1324532 57 43.967367 73.895715 4.263E-14 5.647E-15 4.2679E-9 . . . 5 9 1 female sex 9 2.1972246 0.3333333 9 4.6828329 17.297222 1.776E-15 5.921E-16 0 0 2.6409E-8 2.6409E-8 6 4 1 female mens 4 1.3862944 0.5 4 1.5012714 10.657633 8.882E-16 4.441E-16 0 0 2.1073E-8 2.1073E-8 7 19 1 female healthy 19 2.944439 0.2294157 19 12.119217 29.787402 -3.55E-15 -8.15E-16 -1.613E-9 . . . 8 71 1 female none 71 4.2626799 0.1186782 71 56.265128 89.593682 0 0 0 . . . 9 2 2 male sex 2 0.6931472 0.7071068 2 0.5001953 7.9968763 2.22E-16 1.57E-16 0 . . . 10 0 2 male mens 5.296E-10 -21.35881 43451.763 5.296E-10 0 . -5.3E-10 -0.000023 -0.000033 . . . 11 7 2 male healthy 7 1.9459101 0.3779645 7 3.3371375 14.683243 8.882E-16 3.357E-16 1.0413E-9 . . . 12 20 2 male none 20 2.9957323 0.2236068 20 12.903144 31.000197 3.553E-15 7.944E-16 0 . . . 13 7 2 female sex 7 1.9459101 0.3779645 7 3.3371375 14.683243 -8.88E-16 -3.36E-16 -6.59E-10 . . . 14 8 2 female mens 8 2.0794415 0.3535534 8 4.0007811 15.996876 1.776E-15 6.28E-16 0 . . . 15 10 2 female healthy 10 2.3025851 0.3162278 10 5.3805471 18.585471 -1.78E-15 -5.62E-16 -9.31E-10 . . . 16 31 2 female none 31 3.4339872 0.1796053 31 21.801249 44.080042 0 0 0 . . . Saturated Model 5 The GENMOD Procedure Model Information Data Set WORK.CONCERNS Distribution Poisson Link Function Log Dependent Variable count Observations Used 16 Class Level Information Class Levels Values age 2 1 2 gender 2 male female health 4 sex mens healthy none 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 720.5547 WARNING: Negative of Hessian not positive definite. Analysis Of Parameter Estimates Likelihood Ratio Standard 95% Confidence Parameter DF Estimate Error Limits Intercept 1 3.4340 0.1796 3.0820 3.7860 age 1 1 0.8287 0.2153 0.4068 1.2506 age 2 0 0.0000 0.0000 0.0000 0.0000 gender male 1 -0.4383 0.2868 -1.0004 0.1239 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Intercept 365.56 <.0001 age 1 14.82 0.0001 age 2 . . gender male 2.33 0.1265 Saturated Model 6 The GENMOD Procedure Analysis Of Parameter Estimates Likelihood Ratio Standard 95% Confidence Parameter DF Estimate Error Limits gender female 0 0.0000 0.0000 0.0000 0.0000 health sex 1 -1.4881 0.4185 -2.3083 -0.6679 health mens 1 -1.3545 0.3966 -2.1318 -0.5773 health healthy 1 -1.1314 0.3637 -1.8442 -0.4186 health none 0 0.0000 0.0000 0.0000 0.0000 age*health 1 sex 1 -0.5774 0.5480 -1.6515 0.4967 age*health 1 mens 1 -1.5218 0.6491 -2.7941 -0.2496 age*health 1 healthy 1 -0.1868 0.4461 -1.0611 0.6874 age*health 1 none 0 0.0000 0.0000 0.0000 0.0000 age*health 2 sex 0 0.0000 0.0000 0.0000 0.0000 age*health 2 mens 0 0.0000 0.0000 0.0000 0.0000 age*health 2 healthy 0 0.0000 0.0000 0.0000 0.0000 age*health 2 none 0 0.0000 0.0000 0.0000 0.0000 age*gender 1 male 1 0.2186 0.3375 -0.4428 0.8801 age*gender 1 female 0 0.0000 0.0000 0.0000 0.0000 age*gender 2 male 0 0.0000 0.0000 0.0000 0.0000 age*gender 2 female 0 0.0000 0.0000 0.0000 0.0000 gender*health male sex 1 -0.8145 0.8515 -2.4835 0.8545 gender*health male mens 1 -23.0000 43451.76 -85186.9 85140.89 gender*health male healthy 1 0.0816 0.5702 -1.0360 1.1991 gender*health male none 0 0.0000 0.0000 0.0000 0.0000 gender*health female sex 0 0.0000 0.0000 0.0000 0.0000 gender*health female mens 0 0.0000 0.0000 0.0000 0.0000 gender*health female healthy 0 0.0000 0.0000 0.0000 0.0000 gender*health female none 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 1 male sex 1 0.2232 1.0573 -1.8490 2.2954 age*gender*health 1 male mens 1 0.0000 70161.40 -137514 137513.8 age*gender*health 1 male healthy 1 0.9313 0.6582 -0.3587 2.2213 age*gender*health 1 male none 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 1 female sex 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 1 female mens 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 1 female healthy 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 1 female none 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 male sex 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 male mens 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 male healthy 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 male none 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 female sex 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 female mens 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 female healthy 0 0.0000 0.0000 0.0000 0.0000 age*gender*health 2 female none 0 0.0000 0.0000 0.0000 0.0000 delta1 0 0.0000 0.0000 0.0000 0.0000 delta2 0 0.0000 0.0000 0.0000 0.0000 Scale 0 1.0000 0.0000 1.0000 1.0000 Saturated Model 7 The GENMOD Procedure Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq gender female . . health sex 12.65 0.0004 health mens 11.67 0.0006 health healthy 9.68 0.0019 health none . . age*health 1 sex 1.11 0.2921 age*health 1 mens 5.50 0.0191 age*health 1 healthy 0.18 0.6753 age*health 1 none . . age*health 2 sex . . age*health 2 mens . . age*health 2 healthy . . age*health 2 none . . age*gender 1 male 0.42 0.5171 age*gender 1 female . . age*gender 2 male . . age*gender 2 female . . gender*health male sex 0.91 0.3388 gender*health male mens 0.00 0.9996 gender*health male healthy 0.02 0.8862 gender*health male none . . gender*health female sex . . gender*health female mens . . gender*health female healthy . . gender*health female none . . age*gender*health 1 male sex 0.04 0.8328 age*gender*health 1 male mens 0.00 1.0000 age*gender*health 1 male healthy 2.00 0.1571 age*gender*health 1 male none . . age*gender*health 1 female sex . . age*gender*health 1 female mens . . age*gender*health 1 female healthy . . age*gender*health 1 female none . . age*gender*health 2 male sex . . age*gender*health 2 male mens . . age*gender*health 2 male healthy . . age*gender*health 2 male none . . age*gender*health 2 female sex . . age*gender*health 2 female mens . . age*gender*health 2 female healthy . . age*gender*health 2 female none . . delta1 . . delta2 . . Scale NOTE: The scale parameter was held fixed. Saturated Model 8 The GENMOD Procedure Observation Statistics Observation count delta1 delta2 age gender health Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 4 0 0 1 male sex 4 1.3862944 0.5 4 1.5012714 10.657633 -8.88E-16 -4.44E-16 0 0 -1.885E-8 -1.885E-8 2 0 1 0 1 male mens 3.295E-10 -21.83333 55086.895 3.295E-10 0 . -3.3E-10 -0.000018 -0.000026 . . . 3 42 0 0 1 male healthy 42 3.7376696 0.1543033 42 31.03888 56.831948 -7.11E-15 -1.1E-15 0 0 -1.885E-8 -1.885E-8 4 57 0 0 1 male none 57 4.0430513 0.1324532 57 43.967367 73.895715 4.263E-14 5.647E-15 4.2679E-9 . . . 5 9 0 0 1 female sex 9 2.1972246 0.3333333 9 4.6828329 17.297222 1.776E-15 5.921E-16 0 0 2.6409E-8 2.6409E-8 6 4 0 0 1 female mens 4 1.3862944 0.5 4 1.5012714 10.657633 8.882E-16 4.441E-16 0 0 2.1073E-8 2.1073E-8 7 19 0 0 1 female healthy 19 2.944439 0.2294157 19 12.119217 29.787402 -3.55E-15 -8.15E-16 -1.613E-9 . . . 8 71 0 0 1 female none 71 4.2626799 0.1186782 71 56.265128 89.593682 0 0 0 . . . 9 2 0 0 2 male sex 2 0.6931472 0.7071068 2 0.5001953 7.9968763 2.22E-16 1.57E-16 0 . . . 10 0 0 1 2 male mens 5.296E-10 -21.35881 43451.763 5.296E-10 0 . -5.3E-10 -0.000023 -0.000033 . . . 11 7 0 0 2 male healthy 7 1.9459101 0.3779645 7 3.3371375 14.683243 8.882E-16 3.357E-16 1.0413E-9 . . . 12 20 0 0 2 male none 20 2.9957323 0.2236068 20 12.903144 31.000197 3.553E-15 7.944E-16 0 . . . 13 7 0 0 2 female sex 7 1.9459101 0.3779645 7 3.3371375 14.683243 -8.88E-16 -3.36E-16 -6.59E-10 . . . 14 8 0 0 2 female mens 8 2.0794415 0.3535534 8 4.0007811 15.996876 1.776E-15 6.28E-16 0 . . . 15 10 0 0 2 female healthy 10 2.3025851 0.3162278 10 5.3805471 18.585471 -1.78E-15 -5.62E-16 -9.31E-10 . . . 16 31 0 0 2 female none 31 3.4339872 0.1796053 31 21.801249 44.080042 0 0 0 . . . Homog. model without indicator 9 The GENMOD Procedure Model Information Data Set WORK.CONCERNS Distribution Poisson Link Function Log Dependent Variable count Observations Used 16 Class Level Information Class Levels Values age 2 1 2 gender 2 male female health 4 sex mens healthy none Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 3 2.0265 0.6755 Scaled Deviance 3 2.0265 0.6755 Pearson Chi-Square 3 2.0302 0.6767 Scaled Pearson X2 3 2.0302 0.6767 Log Likelihood 719.5414 Algorithm converged. Analysis Of Parameter Estimates Likelihood Ratio Standard 95% Confidence Chi- Parameter DF Estimate Error Limits Square Intercept 1 3.5014 0.1661 3.5014 3.5014 444.37 age 1 1 0.7304 0.1976 0.7304 0.7304 13.66 age 2 0 0.0000 0.0000 0.0000 0.0000 . gender male 1 -0.6200 0.2554 -0.6200 -0.6200 5.89 gender female 0 0.0000 0.0000 0.0000 0.0000 . Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 age 1 0.0002 age 2 . gender male 0.0152 gender female . Homog. model without indicator 10 The GENMOD Procedure Analysis Of Parameter Estimates Likelihood Ratio Standard 95% Confidence Chi- Parameter DF Estimate Error Limits Square health sex 1 -1.5517 0.3817 -1.5517 -1.5517 16.52 health mens 1 -1.4219 0.3906 -1.4219 -1.4219 13.25 health healthy 1 -1.4457 0.3153 -1.4457 -1.4457 21.03 health none 0 0.0000 0.0000 0.0000 0.0000 . age*health 1 sex 1 -0.4858 0.4679 -0.4858 -0.4858 1.08 age*health 1 mens 1 -1.4235 0.6435 -1.4235 -1.4235 4.89 age*health 1 healthy 1 0.2674 0.3261 0.2674 0.2674 0.67 age*health 1 none 0 0.0000 0.0000 0.0000 0.0000 . age*health 2 sex 0 0.0000 0.0000 0.0000 0.0000 . age*health 2 mens 0 0.0000 0.0000 0.0000 0.0000 . age*health 2 healthy 0 0.0000 0.0000 0.0000 0.0000 . age*health 2 none 0 0.0000 0.0000 0.0000 0.0000 . age*gender 1 male 1 0.4685 0.2803 0.4685 0.4685 2.79 age*gender 1 female 0 0.0000 0.0000 0.0000 0.0000 . age*gender 2 male 0 0.0000 0.0000 0.0000 0.0000 . age*gender 2 female 0 0.0000 0.0000 0.0000 0.0000 . gender*health male sex 1 -0.6499 0.5051 -0.6499 -0.6499 1.66 gender*health male mens 1 -22.9969 35424.19 -22.9969 -22.9969 0.00 gender*health male healthy 1 0.7822 0.2802 0.7822 0.7822 7.79 gender*health male none 0 0.0000 0.0000 0.0000 0.0000 . gender*health female sex 0 0.0000 0.0000 0.0000 0.0000 . gender*health female mens 0 0.0000 0.0000 0.0000 0.0000 . gender*health female healthy 0 0.0000 0.0000 0.0000 0.0000 . gender*health female none 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 health sex <.0001 health mens 0.0003 health healthy <.0001 health none . age*health 1 sex 0.2992 age*health 1 mens 0.0269 age*health 1 healthy 0.4123 age*health 1 none . age*health 2 sex . age*health 2 mens . age*health 2 healthy . age*health 2 none . age*gender 1 male 0.0946 age*gender 1 female . age*gender 2 male . age*gender 2 female . gender*health male sex 0.1982 gender*health male mens 0.9995 Homog. model without indicator 11 The GENMOD Procedure Analysis Of Parameter Estimates Parameter Pr > ChiSq gender*health male healthy 0.0052 gender*health male none . gender*health female sex . gender*health female mens . gender*health female healthy . gender*health female none . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq age 1 6.25 0.0124 gender 1 18.36 <.0001 health 3 199.93 <.0001 age*health 3 7.40 0.0602 age*gender 1 2.83 0.0924 gender*health 3 24.15 <.0001 Observation Statistics Observation count age gender health Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 4 1 male sex 4.0265227 1.3929032 0.4381507 4.0265227 1.7059866 9.5035242 -0.026523 -0.013218 -0.013232 -0.027772 -0.027742 -0.027749 2 0 1 male mens 3.539E-10 -21.76205 35424.194 3.539E-10 0 . -3.54E-10 -0.000019 -0.000027 -0.000036 -0.000025 -0.000031 3 42 1 male healthy 39.812093 3.6841707 0.1536097 39.812093 29.461995 53.798213 2.1879074 0.346754 0.3436485 1.3960255 1.4086409 1.4078797 4 57 1 male none 59.161385 4.080269 0.1268719 59.161385 46.136514 75.863327 -2.161385 -0.281004 -0.282742 -1.294449 -1.286494 -1.286875 5 9 1 female sex 8.9734773 2.1942733 0.3163673 8.9734773 4.826901 16.682193 0.0265227 0.008854 0.0088496 0.0277283 0.0277419 0.0277405 6 4 1 female mens 4 1.3862944 0.5 4 1.5012714 10.657633 -2.66E-15 -1.33E-15 0 0 -1.9E-10 -1.9E-10 Homog. model without indicator 12 The GENMOD Procedure Observation Statistics Observation count age gender health Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 7 19 1 female healthy 21.187907 3.0534306 0.2045066 21.187907 14.190959 31.634748 -2.187907 -0.475319 -0.483873 -1.433991 -1.408641 -1.41155 8 71 1 female none 68.838615 4.2317649 0.11803 68.838615 54.621645 86.755991 2.1613846 0.260505 0.2591593 1.2798486 1.2864942 1.2862224 9 2 2 male sex 1.9734773 0.6797971 0.521562 1.9734773 0.7100317 5.4851251 0.0265227 0.01888 0.018838 0.0276801 0.0277419 0.0277133 10 0 2 male mens 4.43E-10 -21.53743 35424.194 4.43E-10 0 . -4.43E-10 -0.000021 -0.00003 -0.000045 -0.000032 -0.000038 11 7 2 male healthy 9.1879074 2.2178882 0.2833041 9.1879074 5.2731206 16.009048 -2.187907 -0.721806 -0.753739 -1.470959 -1.408641 -1.425267 12 20 2 male none 17.838615 2.8813655 0.2172282 17.838615 11.653493 27.306508 2.1613846 0.5117425 0.5018977 1.2617448 1.2864942 1.2826099 13 7 2 female sex 7.0265227 1.949692 0.3518588 7.0265227 3.5256377 14.003714 -0.026523 -0.010006 -0.010012 -0.027759 -0.027742 -0.027744 14 8 2 female mens 8 2.0794415 0.3535534 8 4.0007811 15.996876 1.776E-15 6.28E-16 0 0 1.266E-10 1.266E-10 15 10 2 female healthy 7.8120926 2.0556729 0.297451 7.8120926 4.3609055 13.994523 2.1879074 0.7827899 0.7499531 1.3495507 1.4086409 1.3906613 16 31 2 female none 33.161385 3.5013861 0.1660988 33.161385 23.946889 45.921515 -2.161385 -0.375332 -0.379524 -1.300863 -1.286494 -1.287723 Homog. Model 13 The GENMOD Procedure Model Information Data Set WORK.CONCERNS Distribution Poisson Link Function Log Dependent Variable count Observations Used 16 Class Level Information Class Levels Values age 2 1 2 gender 2 male female health 4 sex mens healthy none Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 2 2.0265 1.0133 Scaled Deviance 2 2.0265 1.0133 Pearson Chi-Square 2 2.0302 1.0151 Scaled Pearson X2 2 2.0302 1.0151 Log Likelihood 719.5414 Algorithm converged. Analysis Of Parameter Estimates Likelihood Ratio Standard 95% Confidence Chi- Parameter DF Estimate Error Limits Square Intercept 1 3.5014 0.1661 3.5014 3.5014 444.37 age 1 1 0.7304 0.1976 0.7304 0.7304 13.66 age 2 0 0.0000 0.0000 0.0000 0.0000 . gender male 1 -0.6200 0.2554 -0.6200 -0.6200 5.89 gender female 0 0.0000 0.0000 0.0000 0.0000 . Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 age 1 0.0002 age 2 . gender male 0.0152 gender female . Homog. Model 14 The GENMOD Procedure Analysis Of Parameter Estimates Likelihood Ratio Standard 95% Confidence Chi- Parameter DF Estimate Error Limits Square health sex 1 -1.5517 0.3817 -1.5517 -1.5517 16.52 health mens 1 -1.4219 0.3906 -1.4219 -1.4219 13.25 health healthy 1 -1.4457 0.3153 -1.4457 -1.4457 21.03 health none 0 0.0000 0.0000 0.0000 0.0000 . age*health 1 sex 1 -0.4858 0.4679 -0.4858 -0.4858 1.08 age*health 1 mens 1 -1.4235 0.6435 -1.4235 -1.4235 4.89 age*health 1 healthy 1 0.2674 0.3261 0.2674 0.2674 0.67 age*health 1 none 0 0.0000 0.0000 0.0000 0.0000 . age*health 2 sex 0 0.0000 0.0000 0.0000 0.0000 . age*health 2 mens 0 0.0000 0.0000 0.0000 0.0000 . age*health 2 healthy 0 0.0000 0.0000 0.0000 0.0000 . age*health 2 none 0 0.0000 0.0000 0.0000 0.0000 . age*gender 1 male 1 0.4685 0.2803 0.4685 0.4685 2.79 age*gender 1 female 0 0.0000 0.0000 0.0000 0.0000 . age*gender 2 male 0 0.0000 0.0000 0.0000 0.0000 . age*gender 2 female 0 0.0000 0.0000 0.0000 0.0000 . gender*health male sex 1 -0.6499 0.5051 -0.6499 -0.6499 1.66 gender*health male mens 1 -22.9939 47439.55 -22.9939 -22.9939 0.00 gender*health male healthy 1 0.7822 0.2802 0.7822 0.7822 7.79 gender*health male none 0 0.0000 0.0000 0.0000 0.0000 . gender*health female sex 0 0.0000 0.0000 0.0000 0.0000 . gender*health female mens 0 0.0000 0.0000 0.0000 0.0000 . gender*health female healthy 0 0.0000 0.0000 0.0000 0.0000 . gender*health female none 0 0.0000 0.0000 0.0000 0.0000 . delta1 1 -0.0067 71320.86 -0.0067 -0.0067 0.00 delta2 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 health sex <.0001 health mens 0.0003 health healthy <.0001 health none . age*health 1 sex 0.2992 age*health 1 mens 0.0269 age*health 1 healthy 0.4123 age*health 1 none . age*health 2 sex . age*health 2 mens . age*health 2 healthy . age*health 2 none . age*gender 1 male 0.0946 age*gender 1 female . age*gender 2 male . age*gender 2 female . Homog. Model 15 The GENMOD Procedure Analysis Of Parameter Estimates Parameter Pr > ChiSq gender*health male sex 0.1982 gender*health male mens 0.9996 gender*health male healthy 0.0052 gender*health male none . gender*health female sex . gender*health female mens . gender*health female healthy . gender*health female none . delta1 1.0000 delta2 . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq age 1 6.25 0.0124 gender 1 3.27 0.0705 health 3 142.44 <.0001 age*health 3 7.40 0.0602 age*gender 1 2.83 0.0924 gender*health 2 11.42 0.0033 delta1 0 0.00 . delta2 0 0.00 . Observation Statistics Observation count delta1 delta2 age gender health Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 4 0 0 1 male sex 4.0265227 1.3929032 0.4381507 4.0265227 1.7059866 9.5035242 -0.026523 -0.013218 -0.013232 -0.027772 -0.027742 -0.027749 2 0 1 0 1 male mens 3.526E-10 -21.7658 53256.978 3.526E-10 0 . -3.53E-10 -0.000019 -0.000027 -0.004577 -0.003236 -0.003236 3 42 0 0 1 male healthy 39.812093 3.6841707 0.1536097 39.812093 29.461995 53.798213 2.1879074 0.346754 0.3436485 1.3960255 1.4086409 1.4078797 4 57 0 0 1 male none 59.161385 4.080269 0.1268719 59.161385 46.136514 75.863327 -2.161385 -0.281004 -0.282742 -1.294449 -1.286494 -1.286875 Homog. Model 16 The GENMOD Procedure Observation Statistics Observation count delta1 delta2 age gender health Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 5 9 0 0 1 female sex 8.9734773 2.1942733 0.3163673 8.9734773 4.826901 16.682193 0.0265227 0.008854 0.0088496 0.0277283 0.0277419 0.0277405 6 4 0 0 1 female mens 4 1.3862944 0.5 4 1.5012714 10.657633 -8.88E-16 -4.44E-16 0 0 -8.788E-9 -8.788E-9 7 19 0 0 1 female healthy 21.187907 3.0534306 0.2045066 21.187907 14.190959 31.634748 -2.187907 -0.475319 -0.483873 -1.433991 -1.408641 -1.41155 8 71 0 0 1 female none 68.838615 4.2317649 0.11803 68.838615 54.621645 86.755991 2.1613846 0.260505 0.2591593 1.2798486 1.2864942 1.2862224 9 2 0 0 2 male sex 1.9734773 0.6797971 0.521562 1.9734773 0.7100317 5.4851251 0.0265227 0.01888 0.018838 0.0276801 0.0277419 0.0277133 10 0 0 1 2 male mens 4.443E-10 -21.53445 47439.547 4.443E-10 0 . -4.44E-10 -0.000021 -0.00003 -0.005768 -0.004079 -0.004079 11 7 0 0 2 male healthy 9.1879074 2.2178882 0.2833041 9.1879074 5.2731206 16.009048 -2.187907 -0.721806 -0.753739 -1.470959 -1.408641 -1.425267 12 20 0 0 2 male none 17.838615 2.8813655 0.2172282 17.838615 11.653493 27.306508 2.1613846 0.5117425 0.5018977 1.2617448 1.2864942 1.2826099 13 7 0 0 2 female sex 7.0265227 1.949692 0.3518588 7.0265227 3.5256377 14.003714 -0.026523 -0.010006 -0.010012 -0.027759 -0.027742 -0.027744 14 8 0 0 2 female mens 8 2.0794415 0.3535534 8 4.0007811 15.996876 -1.78E-15 -6.28E-16 0 0 -3.441E-8 -3.441E-8 15 10 0 0 2 female healthy 7.8120926 2.0556729 0.297451 7.8120926 4.3609055 13.994523 2.1879074 0.7827899 0.7499531 1.3495507 1.4086409 1.3906613 16 31 0 0 2 female none 33.161385 3.5013861 0.1660988 33.161385 23.946889 45.921515 -2.161385 -0.375332 -0.379524 -1.300863 -1.286494 -1.287723 Indepedence model 17 The GENMOD Procedure Model Information Data Set WORK.CONCERNS Distribution Poisson Link Function Log Dependent Variable count Observations Used 16 Class Level Information Class Levels Values age 2 1 2 gender 2 male female health 4 sex mens healthy none Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 10 43.1764 4.3176 Scaled Deviance 10 43.1764 4.3176 Pearson Chi-Square 10 47.9825 4.7982 Scaled Pearson X2 10 47.9825 4.7982 Log Likelihood 698.9665 Algorithm converged. Analysis Of Parameter Estimates Likelihood Ratio Standard 95% Confidence Chi- Parameter DF Estimate Error Limits Square Pr > ChiSq Intercept 1 3.3523 0.1295 3.0912 3.5992 670.21 <.0001 age 1 1 0.8852 0.1289 0.6366 1.1427 47.15 <.0001 age 2 0 0.0000 0.0000 0.0000 0.0000 . . gender male 1 -0.1861 0.1178 -0.4180 0.0441 2.50 0.1140 gender female 0 0.0000 0.0000 0.0000 0.0000 . . health sex 1 -2.0963 0.2259 -2.5670 -1.6770 86.10 <.0001 health mens 1 -2.7025 0.2982 -3.3423 -2.1630 82.13 <.0001 health healthy 1 -0.8307 0.1357 -1.1016 -0.5690 37.49 <.0001 health none 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. Indepedence model 18 The GENMOD Procedure LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq age 1 51.87 <.0001 gender 1 2.51 0.1132 health 3 237.32 <.0001 Observation Statistics Observation count age gender health Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 4 1 male sex 7.0644418 1.955074 0.225858 7.0644418 4.5376104 10.998374 -3.064442 -1.152955 -1.256442 -1.571007 -1.441611 -1.525642 2 0 1 male mens 3.8533349 1.348939 0.2981452 3.8533349 2.1481031 6.9122333 -3.853335 -1.962991 -2.776089 -3.423685 -2.420911 -3.116752 3 42 1 male healthy 25.046657 3.2207404 0.1355647 25.046657 19.202461 32.669513 16.953343 3.3875089 3.0846994 4.1989191 4.6111059 4.3934555 4 57 1 male none 57.478868 4.0514174 0.1055645 57.478868 46.735999 70.691123 -0.478868 -0.063163 -0.063251 -0.105497 -0.10535 -0.105403 5 9 1 female sex 8.5094413 2.1411763 0.2229919 8.5094413 5.4965481 13.17383 0.4905587 0.1681669 0.1665887 0.2193353 0.2214131 0.2202169 6 4 1 female mens 4.641517 1.5350413 0.2959799 4.641517 2.5984922 8.2908391 -0.641517 -0.297768 -0.305056 -0.396014 -0.386554 -0.392195 7 19 1 female healthy 30.169837 3.4068427 0.1307338 30.169837 23.350282 38.981076 -11.16984 -2.033576 -2.183652 -3.137621 -2.921982 -3.028346 8 71 1 female none 69.235909 4.2375196 0.0992845 69.235909 56.992834 84.109013 1.7640911 0.2120095 0.2111186 0.3746674 0.3762484 0.3757472 9 2 2 male sex 2.9149396 1.0698491 0.2406702 2.9149396 1.8187403 4.671845 -0.91494 -0.535892 -0.568394 -0.623458 -0.587808 -0.617583 10 0 2 male mens 1.5899683 0.4637141 0.3095172 1.5899683 0.8668161 2.9164192 -1.589968 -1.260939 -1.783238 -1.936838 -1.369551 -1.861623 11 7 2 male healthy 10.334786 2.3355155 0.1590224 10.334786 7.5673073 14.114373 -3.334786 -1.037331 -1.102314 -1.282583 -1.206972 -1.263259 12 20 2 male none 23.717009 3.1661925 0.1343659 23.717009 18.225835 30.862592 -3.717009 -0.763244 -0.784608 -1.037594 -1.009342 -1.025592 13 7 2 female sex 3.5111772 1.2559514 0.2379826 3.5111772 2.2023261 5.5978839 3.4888228 1.8618836 1.6376133 1.8296019 2.080165 1.8820874 Indepedence model 19 The GENMOD Procedure Observation Statistics Observation count age gender health Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 14 8 2 female mens 1.9151891 0.6498164 0.307432 1.9151891 1.0483953 3.4986318 6.0848109 4.3968461 3.2717551 3.6152828 4.8585062 3.8700398 15 10 2 female healthy 12.448719 2.5216178 0.1549247 12.448719 9.1886667 16.865408 -2.448719 -0.694027 -0.718878 -0.858482 -0.828806 -0.849723 16 31 2 female none 28.568215 3.3522947 0.1294904 28.568215 22.164641 36.821841 2.4317852 0.4549709 0.448735 0.6217007 0.6303404 0.6258542 Indepedence model 20 The GENMOD Procedure Model Information Data Set WORK.CONCERNS Distribution Poisson Link Function Log Dependent Variable count Observations Used 16 Class Level Information Class Levels Values age 2 1 2 gender 2 male female health 4 sex mens healthy none Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 8 28.2428 3.5304 Scaled Deviance 8 28.2428 3.5304 Pearson Chi-Square 8 30.5358 3.8170 Scaled Pearson X2 8 30.5358 3.8170 Log Likelihood 706.4333 Algorithm converged. Analysis Of Parameter Estimates Likelihood Ratio Standard 95% Confidence Chi- Parameter DF Estimate Error Limits Square Pr > ChiSq Intercept 1 3.3159 0.1309 3.2289 3.4017 641.76 <.0001 age 1 1 0.8852 0.1289 0.8005 0.9707 47.15 <.0001 age 2 0 0.0000 0.0000 0.0000 0.0000 . . gender male 1 -0.1076 0.1199 -0.1868 -0.0285 0.81 0.3694 gender female 0 0.0000 0.0000 0.0000 0.0000 . . health sex 1 -2.0963 0.2259 -2.2477 -1.9494 86.10 <.0001 health mens 1 -2.0617 0.3035 -2.2662 -1.8654 46.13 <.0001 health healthy 1 -0.8307 0.1357 -0.9206 -0.7415 37.49 <.0001 health none 0 0.0000 0.0000 0.0000 0.0000 . . delta1 1 -22.6882 30583.19 -93.0164 -1.1622 0.00 0.9994 delta2 1 -22.6839 47507.89 -1579.47 -0.3928 0.00 0.9996 Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. Indepedence model 21 The GENMOD Procedure LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq age 1 51.87 <.0001 gender 1 0.81 0.3691 health 3 176.31 <.0001 delta1 1 11.48 0.0007 delta2 1 5.45 0.0195 Observation Statistics Observation count delta1 delta2 age gender health Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 4 0 0 1 male sex 7.3682888 1.9971855 0.2255305 7.3682888 4.7358148 11.464063 -3.368289 -1.240869 -1.359944 -1.719907 -1.569314 -1.665064 2 0 1 0 1 male mens 1.0691E-9 -20.6564 30583.193 1.0691E-9 0 . -1.069E-9 -0.000033 -0.000046 . . . 3 42 0 0 1 male healthy 26.123933 3.2628519 0.1350185 26.123933 20.049828 34.038192 15.876067 3.1061587 2.8517638 3.9404601 4.2919733 4.111614 4 57 0 0 1 male none 59.951077 4.0935288 0.1048621 59.951077 48.813303 73.630167 -2.951077 -0.381138 -0.384331 -0.658373 -0.652903 -0.654772 5 9 0 0 1 female sex 8.2055944 2.1048162 0.2238101 8.2055944 5.2917888 12.723822 0.7944056 0.2773239 0.2730206 0.355752 0.3613594 0.3580674 6 4 0 0 1 female mens 8.4948454 2.1394596 0.2911207 8.4948454 4.8012362 15.029962 -4.494845 -1.542187 -1.721734 -3.253476 -2.914194 -3.013064 7 19 0 0 1 female healthy 29.092562 3.3704825 0.1321247 29.092562 22.455213 37.691789 -10.09256 -1.871158 -1.998867 -2.84933 -2.667284 -2.758377 8 71 0 0 1 female none 66.7637 4.2011595 0.101109 66.7637 54.761618 81.396273 4.2363005 0.5184616 0.5131187 0.9106773 0.9201597 0.9171599 9 2 0 0 2 male sex 3.0403133 1.1119606 0.240363 3.0403133 1.8981084 4.869851 -1.040313 -0.59663 -0.636689 -0.701249 -0.657128 -0.693702 10 0 0 1 2 male mens 4.431E-10 -21.53728 47507.893 4.431E-10 0 . -4.43E-10 -0.000021 -0.00003 . . . 11 7 0 0 2 male healthy 10.779293 2.377627 0.158557 10.779293 7.8999858 14.70802 -3.779293 -1.151106 -1.230671 -1.441374 -1.348187 -1.416726 12 20 0 0 2 male none 24.737095 3.2083039 0.1338148 24.737095 19.030287 32.155262 -4.737095 -0.95244 -0.985557 -1.320492 -1.27612 -1.301024 Indepedence model 22 The GENMOD Procedure Observation Statistics Observation count delta1 delta2 age gender health Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 13 7 0 0 2 female sex 3.3858035 1.2195912 0.2387495 3.3858035 2.1204978 5.40612 3.6141965 1.9641782 1.7146637 1.9087142 2.1864666 1.9653783 14 8 0 0 2 female mens 3.5051546 1.2542346 0.3027567 3.5051546 1.936423 6.3447446 4.4948454 2.4008286 2.0527103 2.491638 2.9141939 2.6347993 15 10 0 0 2 female healthy 12.004212 2.4852576 0.1561002 12.004212 8.8401759 16.300707 -2.004212 -0.578465 -0.595797 -0.708334 -0.687728 -0.702369 16 31 0 0 2 female none 27.548128 3.3159346 0.1308945 27.548128 21.314469 35.604892 3.4518716 0.6576708 0.6446071 0.8871047 0.9050829 0.8956353