Homog. model without indicator 1 The GENMOD Procedure Model Information Data Set WORK.CONCERNS Distribution Poisson Link Function Log Dependent Variable count Observations Used 14 Missing Values 2 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 3.1589 3.8114 444.37 age 1 1 0.7304 0.1976 0.3497 1.1265 13.66 age 2 0 0.0000 0.0000 0.0000 0.0000 . gender male 1 -0.6200 0.2554 -1.1324 -0.1270 5.89 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 age 1 0.0002 age 2 . gender male 0.0152 Homog. model without indicator 2 The GENMOD Procedure Analysis Of Parameter Estimates Likelihood Ratio Standard 95% Confidence Chi- Parameter DF Estimate Error Limits Square gender female 0 0.0000 0.0000 0.0000 0.0000 . health sex 1 -1.5517 0.3817 -2.3642 -0.8512 16.52 health mens 1 -1.4219 0.3906 -2.2616 -0.7093 13.25 health healthy 1 -1.4457 0.3153 -2.0947 -0.8527 21.03 health none 0 0.0000 0.0000 0.0000 0.0000 . age*health 1 sex 1 -0.4858 0.4679 -1.3945 0.4609 1.08 age*health 1 mens 1 -1.4235 0.6435 -2.7947 -0.2053 4.89 age*health 1 healthy 1 0.2674 0.3261 -0.3587 0.9263 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 -0.0768 1.0251 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 -1.7176 0.2962 1.66 gender*health male healthy 1 0.7822 0.2802 0.2384 1.3396 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 gender female . 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 Homog. model without indicator 3 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 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 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 . 1 male mens . . . . . . . . . . . . 3 42 1 male healthy 39.812093 3.6841707 0.1536097 39.812093 29.461996 53.798214 2.1879073 0.3467539 0.3436485 1.3960254 1.4086408 1.4078796 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 0.0277282 0.0277419 0.0277405 6 4 1 female mens 4 1.3862944 0.5 4 1.5012714 10.657633 0 0 0 . . . Homog. 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 7 19 1 female healthy 21.187907 3.0534306 0.2045066 21.187907 14.190959 31.634747 -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 2.1613845 0.2605049 0.2591593 1.2798485 1.2864941 1.2862223 9 2 2 male sex 1.9734773 0.6797971 0.521562 1.9734773 0.7100317 5.4851252 0.0265227 0.01888 0.0188379 0.0276801 0.0277419 0.0277133 10 . 2 male mens . . . . . . . . . . . . 11 7 2 male healthy 9.1879089 2.2178884 0.2833041 9.1879089 5.2731217 16.00905 -2.187909 -0.721807 -0.753739 -1.47096 -1.408642 -1.425268 12 20 2 male none 17.838615 2.8813655 0.2172282 17.838615 11.653493 27.306508 2.1613845 0.5117425 0.5018976 1.2617447 1.2864941 1.2826098 13 7 2 female sex 7.0265227 1.9496919 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 . . . 15 10 2 female healthy 7.8120938 2.055673 0.2974509 7.8120938 4.3609063 13.994524 2.1879062 0.7827895 0.7499527 1.3495499 1.4086401 1.3906605 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 Independence model 5 The GENMOD Procedure Model Information Data Set WORK.CONCERNS Distribution Poisson Link Function Log Dependent Variable count Observations Used 14 Missing Values 2 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 3.0521 3.5655 641.76 <.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 -0.1076 0.1199 -0.3434 0.1272 0.81 0.3694 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 -2.0617 0.3035 -2.7102 -1.5096 46.13 <.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. Independence model 6 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 Observation Statistics Observation count age gender health Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 4 1 male sex 7.3682888 1.9971855 0.2255305 7.3682888 4.7358148 11.464063 -3.368289 -1.240869 -1.359944 -1.719907 -1.569314 -1.665064 2 . 1 male mens 7.6280268 2.0318292 0.3148487 . 4.115404 14.13878 . . . . . . 3 42 1 male healthy 26.123933 3.2628519 0.1350185 26.123933 20.049828 34.038192 15.876067 3.1061587 2.8517638 3.94046 4.2919733 4.111614 4 57 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 1 female sex 8.2055944 2.1048162 0.2238101 8.2055944 5.2917888 12.723822 0.7944056 0.2773239 0.2730205 0.355752 0.3613594 0.3580674 6 4 1 female mens 8.4948481 2.1394599 0.2911207 8.4948481 4.8012381 15.029966 -4.494848 -1.542188 -1.721735 -3.253477 -2.914195 -3.013065 7 19 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 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 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 . 2 male mens 3.1474868 1.1466043 0.3256379 . 1.6625718 5.9586439 . . . . . . 11 7 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 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 13 7 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 Independence model 7 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 3.5051557 1.254235 0.3027566 3.5051557 1.9364237 6.3447461 4.4948443 2.4008277 2.0527096 2.4916372 2.9141927 2.6347984 15 10 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 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