The SAS System 1 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Model Information Data Set WORK.FRAMING Distribution Binomial Link Function Logit Dependent Variable chdny Number of Observations Read 1406 Number of Observations Used 1363 Number of Events 268 Number of Trials 1363 Missing Values 43 Class Level Information Class Levels Values ageny 4 0 1 2 3 sex 2 1 2 sbpny 4 0 1 2 3 Response Profile Ordered Total Value chdny Frequency 1 1 268 2 0 1095 PROC GENMOD is modeling the probability that chdny='1'. Parameter Information Parameter Effect ageny sex sbpny Prm1 Intercept Prm2 ageny 0 Prm3 ageny 1 Prm4 ageny 2 Prm5 ageny 3 Prm6 sex 1 Prm7 sex 2 Prm8 sbpny 0 Prm9 sbpny 1 Prm10 sbpny 2 Prm11 sbpny 3 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 1355 1250.5394 0.9229 Scaled Deviance 1355 1250.5394 0.9229 Pearson Chi-Square 1355 1326.6258 0.9791 Scaled Pearson X2 1355 1326.6258 0.9791 The SAS System 2 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Log Likelihood -625.2697 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 -0.5833 0.2162 -1.0071 -0.1594 7.28 ageny 0 1 -0.7144 0.2024 -1.1111 -0.3176 12.46 ageny 1 1 -0.5108 0.1929 -0.8889 -0.1328 7.01 ageny 2 1 -0.3916 0.1926 -0.7690 -0.0141 4.13 ageny 3 0 0.0000 0.0000 0.0000 0.0000 . sex 1 1 0.8901 0.1471 0.6018 1.1784 36.62 sex 2 0 0.0000 0.0000 0.0000 0.0000 . sbpny 0 1 -1.9477 0.3287 -2.5919 -1.3036 35.12 sbpny 1 1 -1.2427 0.2314 -1.6963 -0.7891 28.83 sbpny 2 1 -0.6746 0.2139 -1.0939 -0.2553 9.94 sbpny 3 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 Intercept 0.0070 ageny 0 0.0004 ageny 1 0.0081 ageny 2 0.0420 ageny 3 . sex 1 <.0001 sex 2 . sbpny 0 <.0001 sbpny 1 <.0001 sbpny 2 0.0016 sbpny 3 . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq ageny 3 14.04 0.0029 sex 1 38.13 <.0001 sbpny 3 51.89 <.0001 The SAS System 3 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Contrast Estimate Results Standard Label Estimate Error Alpha Confidence Limits m vs. k 0.8901 0.1471 0.05 0.6018 1.1784 Exp(m vs. k) 2.4354 0.3582 0.05 1.8254 3.2491 alder 1 vs. 0 0.2035 0.2128 0.05 -0.2136 0.6207 Exp(alder 1 vs. 0) 1.2257 0.2609 0.05 0.8077 1.8602 alder 2 vs. 0 0.3228 0.2137 0.05 -0.0961 0.7417 Exp(alder 2 vs. 0) 1.3810 0.2952 0.05 0.9084 2.0996 alder 3 vs. 0 0.7144 0.2024 0.05 0.3176 1.1111 Exp(alder 3 vs. 0) 2.0429 0.4135 0.05 1.3739 3.0377 sbp 1 vs. 0 0.7050 0.2947 0.05 0.1274 1.2826 Exp(sbp 1 vs. 0) 2.0239 0.5965 0.05 1.1359 3.6061 sbp 2 vs. 0 1.2732 0.2843 0.05 0.7159 1.8304 Exp(sbp 2 vs. 0) 3.5721 1.0157 0.05 2.0459 6.2367 sbp 3 vs. 0 1.9477 0.3287 0.05 1.3036 2.5919 Exp(sbp 3 vs. 0) 7.0128 2.3049 0.05 3.6823 13.3555 Contrast Estimate Results Chi- Label Square Pr > ChiSq m vs. k 36.62 <.0001 Exp(m vs. k) alder 1 vs. 0 0.91 0.3389 Exp(alder 1 vs. 0) alder 2 vs. 0 2.28 0.1310 Exp(alder 2 vs. 0) alder 3 vs. 0 12.46 0.0004 Exp(alder 3 vs. 0) sbp 1 vs. 0 5.72 0.0167 Exp(sbp 1 vs. 0) sbp 2 vs. 0 20.05 <.0001 Exp(sbp 2 vs. 0) sbp 3 vs. 0 35.12 <.0001 Exp(sbp 3 vs. 0) The SAS System 4 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Model Information Data Set WORK.FRAMING Distribution Binomial Link Function Logit Dependent Variable chdny Number of Observations Read 1406 Number of Observations Used 1363 Number of Events 268 Number of Trials 1363 Missing Values 43 Class Level Information Class Levels Values ageny 4 0 1 2 3 sex 2 1 2 Response Profile Ordered Total Value chdny Frequency 1 1 268 2 0 1095 PROC GENMOD is modeling the probability that chdny='1'. Parameter Information Parameter Effect ageny sex Prm1 Intercept Prm2 ageny 0 Prm3 ageny 1 Prm4 ageny 2 Prm5 ageny 3 Prm6 sex 1 Prm7 sex 2 Prm8 sbpny Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 1357 1250.7085 0.9217 Scaled Deviance 1357 1250.7085 0.9217 Pearson Chi-Square 1357 1326.0625 0.9772 Scaled Pearson X2 1357 1326.0625 0.9772 Log Likelihood -625.3543 The SAS System 5 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 -2.4856 0.2337 -2.9436 -2.0276 113.14 ageny 0 1 -0.7169 0.2023 -1.1133 -0.3204 12.56 ageny 1 1 -0.5119 0.1928 -0.8898 -0.1340 7.05 ageny 2 1 -0.3894 0.1925 -0.7666 -0.0122 4.09 ageny 3 0 0.0000 0.0000 0.0000 0.0000 . sex 1 1 0.8889 0.1468 0.6011 1.1766 36.65 sex 2 0 0.0000 0.0000 0.0000 0.0000 . sbpny 1 0.6255 0.0904 0.4484 0.8026 47.90 Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 ageny 0 0.0004 ageny 1 0.0079 ageny 2 0.0431 ageny 3 . sex 1 <.0001 sex 2 . sbpny <.0001 Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq ageny 3 14.14 0.0027 sex 1 38.11 <.0001 sbpny 1 51.72 <.0001 Contrast Estimate Results Standard Label Estimate Error Alpha m vs. k 0.8889 0.1468 0.05 Contrast Estimate Results Chi- Label Confidence Limits Square Pr > ChiSq m vs. k 0.6011 1.1766 36.65 <.0001 The SAS System 6 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Contrast Estimate Results Standard Label Estimate Error Alpha Exp(m vs. k) 2.4323 0.3571 0.05 alder 1 vs. 0 0.2050 0.2128 0.05 Exp(alder 1 vs. 0) 1.2275 0.2612 0.05 alder 2 vs. 0 0.3275 0.2133 0.05 Exp(alder 2 vs. 0) 1.3875 0.2960 0.05 alder 3 vs. 0 0.7169 0.2023 0.05 Exp(alder 3 vs. 0) 2.0480 0.4143 0.05 sbp: OR pr. gruppe 0.6255 0.0904 0.05 Exp(sbp: OR pr. gruppe) 1.8692 0.1689 0.05 Contrast Estimate Results Chi- Label Confidence Limits Square Pr > ChiSq Exp(m vs. k) 1.8241 3.2434 alder 1 vs. 0 -0.2121 0.6221 0.93 0.3354 Exp(alder 1 vs. 0) 0.8089 1.8629 alder 2 vs. 0 -0.0906 0.7456 2.36 0.1247 Exp(alder 2 vs. 0) 0.9134 2.1078 alder 3 vs. 0 0.3204 1.1133 12.56 0.0004 Exp(alder 3 vs. 0) 1.3777 3.0445 sbp: OR pr. gruppe 0.4484 0.8026 47.90 <.0001 Exp(sbp: OR pr. gruppe) 1.5658 2.2314 The SAS System 7 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Model Information Data Set WORK.FRAMING Distribution Binomial Link Function Logit Dependent Variable chdny Number of Observations Read 1406 Number of Observations Used 1363 Number of Events 268 Number of Trials 1363 Missing Values 43 Class Level Information Class Levels Values ageny 4 0 1 2 3 sex 2 1 2 sbpny 4 0 1 2 3 Response Profile Ordered Total Value chdny Frequency 1 1 268 2 0 1095 PROC GENMOD is modeling the probability that chdny='1'. Parameter Information Parameter Effect ageny sex sbpny Prm1 Intercept Prm2 ageny 0 Prm3 ageny 1 Prm4 ageny 2 Prm5 ageny 3 Prm6 sex 1 Prm7 sex 2 Prm8 sbpny 0 Prm9 sbpny 1 Prm10 sbpny 2 Prm11 sbpny 3 Prm12 sex*sbpny 1 0 Prm13 sex*sbpny 1 1 Prm14 sex*sbpny 1 2 Prm15 sex*sbpny 1 3 Prm16 sex*sbpny 2 0 Prm17 sex*sbpny 2 1 Prm18 sex*sbpny 2 2 Prm19 sex*sbpny 2 3 The SAS System 8 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 1352 1247.2373 0.9225 Scaled Deviance 1352 1247.2373 0.9225 Pearson Chi-Square 1352 1362.5987 1.0078 Scaled Pearson X2 1352 1362.5987 1.0078 Log Likelihood -623.6187 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 -0.4731 0.2465 -0.9563 0.0101 3.68 ageny 0 1 -0.6893 0.2028 -1.0869 -0.2917 11.55 ageny 1 1 -0.5102 0.1927 -0.8880 -0.1325 7.01 ageny 2 1 -0.3903 0.1922 -0.7671 -0.0136 4.12 ageny 3 0 0.0000 0.0000 0.0000 0.0000 . sex 1 1 0.5691 0.3842 -0.1839 1.3221 2.19 sex 2 0 0.0000 0.0000 0.0000 0.0000 . sbpny 0 1 -2.7525 0.7526 -4.2275 -1.2774 13.38 sbpny 1 1 -1.5301 0.3318 -2.1803 -0.8799 21.27 sbpny 2 1 -0.7224 0.2720 -1.2556 -0.1893 7.05 sbpny 3 0 0.0000 0.0000 0.0000 0.0000 . sex*sbpny 1 0 1 1.1724 0.8623 -0.5178 2.8626 1.85 sex*sbpny 1 1 1 0.5723 0.4799 -0.3682 1.5128 1.42 sex*sbpny 1 2 1 0.1982 0.4341 -0.6528 1.0491 0.21 sex*sbpny 1 3 0 0.0000 0.0000 0.0000 0.0000 . sex*sbpny 2 0 0 0.0000 0.0000 0.0000 0.0000 . sex*sbpny 2 1 0 0.0000 0.0000 0.0000 0.0000 . Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept 0.0550 ageny 0 0.0007 ageny 1 0.0081 ageny 2 0.0423 ageny 3 . sex 1 0.1385 sex 2 . sbpny 0 0.0003 sbpny 1 <.0001 sbpny 2 0.0079 sbpny 3 . sex*sbpny 1 0 0.1740 sex*sbpny 1 1 0.2330 sex*sbpny 1 2 0.6481 sex*sbpny 1 3 . sex*sbpny 2 0 . sex*sbpny 2 1 . The SAS System 9 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square sex*sbpny 2 2 0 0.0000 0.0000 0.0000 0.0000 . sex*sbpny 2 3 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 sex*sbpny 2 2 . sex*sbpny 2 3 . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq ageny 3 13.30 0.0040 sex 1 27.28 <.0001 sbpny 3 51.63 <.0001 sex*sbpny 3 3.30 0.3474 Contrast Estimate Results Standard Label Estimate Error Alpha Confidence Limits alder 1 vs. 0 0.1791 0.2134 0.05 -0.2392 0.5973 Exp(alder 1 vs. 0) 1.1961 0.2553 0.05 0.7873 1.8173 alder 2 vs. 0 0.2990 0.2142 0.05 -0.1210 0.7189 Exp(alder 2 vs. 0) 1.3484 0.2889 0.05 0.8861 2.0521 alder 3 vs. 0 0.6893 0.2028 0.05 0.2917 1.0869 Exp(alder 3 vs. 0) 1.9923 0.4041 0.05 1.3387 2.9650 Contrast Estimate Results Chi- Label Square Pr > ChiSq alder 1 vs. 0 0.70 0.4014 Exp(alder 1 vs. 0) alder 2 vs. 0 1.95 0.1629 Exp(alder 2 vs. 0) alder 3 vs. 0 11.55 0.0007 Exp(alder 3 vs. 0) The SAS System 10 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Model Information Data Set WORK.FRAMING Distribution Binomial Link Function Logit Dependent Variable chdny Number of Observations Read 1406 Number of Observations Used 1363 Number of Events 268 Number of Trials 1363 Missing Values 43 Class Level Information Class Levels Values ageny 4 0 1 2 3 sex 2 1 2 sbpny 4 0 1 2 3 Response Profile Ordered Total Value chdny Frequency 1 1 268 2 0 1095 PROC GENMOD is modeling the probability that chdny='1'. Parameter Information Parameter Effect ageny sex sbpny Prm1 Intercept Prm2 ageny 0 Prm3 ageny 1 Prm4 ageny 2 Prm5 ageny 3 Prm6 sex 1 Prm7 sex 2 Prm8 sex*sbpny 1 0 Prm9 sex*sbpny 1 1 Prm10 sex*sbpny 1 2 Prm11 sex*sbpny 1 3 Prm12 sex*sbpny 2 0 Prm13 sex*sbpny 2 1 Prm14 sex*sbpny 2 2 Prm15 sex*sbpny 2 3 The SAS System 11 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 1352 1247.2373 0.9225 Scaled Deviance 1352 1247.2373 0.9225 Pearson Chi-Square 1352 1362.5987 1.0078 Scaled Pearson X2 1352 1362.5987 1.0078 Log Likelihood -623.6187 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 -0.4731 0.2465 -0.9563 0.0101 3.68 ageny 0 1 -0.6893 0.2028 -1.0869 -0.2917 11.55 ageny 1 1 -0.5102 0.1927 -0.8880 -0.1325 7.01 ageny 2 1 -0.3903 0.1922 -0.7671 -0.0136 4.12 ageny 3 0 0.0000 0.0000 0.0000 0.0000 . sex 1 1 0.5691 0.3842 -0.1839 1.3221 2.19 sex 2 0 0.0000 0.0000 0.0000 0.0000 . sex*sbpny 1 0 1 -1.5801 0.4237 -2.4105 -0.7497 13.91 sex*sbpny 1 1 1 -0.9578 0.3477 -1.6393 -0.2764 7.59 sex*sbpny 1 2 1 -0.5243 0.3395 -1.1896 0.1410 2.39 sex*sbpny 1 3 0 0.0000 0.0000 0.0000 0.0000 . sex*sbpny 2 0 1 -2.7525 0.7526 -4.2275 -1.2774 13.38 sex*sbpny 2 1 1 -1.5301 0.3318 -2.1803 -0.8799 21.27 sex*sbpny 2 2 1 -0.7224 0.2720 -1.2556 -0.1893 7.05 sex*sbpny 2 3 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 Intercept 0.0550 ageny 0 0.0007 ageny 1 0.0081 ageny 2 0.0423 ageny 3 . sex 1 0.1385 sex 2 . sex*sbpny 1 0 0.0002 sex*sbpny 1 1 0.0059 sex*sbpny 1 2 0.1225 sex*sbpny 1 3 . sex*sbpny 2 0 0.0003 sex*sbpny 2 1 <.0001 sex*sbpny 2 2 0.0079 sex*sbpny 2 3 . Scale NOTE: The scale parameter was held fixed. The SAS System 12 14:53 Tuesday, April 25, 2006 The GENMOD Procedure LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq ageny 3 13.30 0.0040 sex 1 27.28 <.0001 sex*sbpny 6 55.19 <.0001 Contrast Estimate Results Standard Label Estimate Error Alpha Confidence Limits alder 1 vs. 0 0.1791 0.2134 0.05 -0.2392 0.5973 Exp(alder 1 vs. 0) 1.1961 0.2553 0.05 0.7873 1.8173 alder 2 vs. 0 0.2990 0.2142 0.05 -0.1210 0.7189 Exp(alder 2 vs. 0) 1.3484 0.2889 0.05 0.8861 2.0521 alder 3 vs. 0 0.6893 0.2028 0.05 0.2917 1.0869 Exp(alder 3 vs. 0) 1.9923 0.4041 0.05 1.3387 2.9650 sbp 1 vs. 0: M 0.6223 0.3278 0.05 -0.0203 1.2648 Exp(sbp 1 vs. 0: M) 1.8632 0.6108 0.05 0.9799 3.5425 sbp 2 vs. 0: M 1.0558 0.3186 0.05 0.4314 1.6802 Exp(sbp 2 vs. 0: M) 2.8743 0.9157 0.05 1.5394 5.3668 sbp 3 vs. 0: M 1.5801 0.4237 0.05 0.7497 2.4105 Exp(sbp 3 vs. 0: M) 4.8554 2.0571 0.05 2.1164 11.1393 sbp 1 vs. 0: K 1.2224 0.7557 0.05 -0.2587 2.7034 Exp(sbp 1 vs. 0: K) 3.3953 2.5656 0.05 0.7721 14.9309 sbp 2 vs. 0: K 2.0300 0.7326 0.05 0.5941 3.4659 Exp(sbp 2 vs. 0: K) 7.6144 5.5784 0.05 1.8115 32.0067 sbp 3 vs. 0: K 2.7525 0.7526 0.05 1.2774 4.2275 Exp(sbp 3 vs. 0: K) 15.6816 11.8018 0.05 3.5874 68.5481 Contrast Estimate Results Chi- Label Square Pr > ChiSq alder 1 vs. 0 0.70 0.4014 Exp(alder 1 vs. 0) alder 2 vs. 0 1.95 0.1629 Exp(alder 2 vs. 0) alder 3 vs. 0 11.55 0.0007 Exp(alder 3 vs. 0) sbp 1 vs. 0: M 3.60 0.0577 Exp(sbp 1 vs. 0: M) sbp 2 vs. 0: M 10.98 0.0009 Exp(sbp 2 vs. 0: M) sbp 3 vs. 0: M 13.91 0.0002 Exp(sbp 3 vs. 0: M) sbp 1 vs. 0: K 2.62 0.1057 Exp(sbp 1 vs. 0: K) sbp 2 vs. 0: K 7.68 0.0056 Exp(sbp 2 vs. 0: K) sbp 3 vs. 0: K 13.38 0.0003 Exp(sbp 3 vs. 0: K) The SAS System 13 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Model Information Data Set WORK.FRAMING Distribution Binomial Link Function Logit Dependent Variable chdny Number of Observations Read 1406 Number of Observations Used 1363 Number of Events 268 Number of Trials 1363 Missing Values 43 Class Level Information Class Levels Values ageny 4 0 1 2 3 sex 2 1 2 Response Profile Ordered Total Value chdny Frequency 1 1 268 2 0 1095 PROC GENMOD is modeling the probability that chdny='1'. Parameter Information Parameter Effect ageny sex Prm1 Intercept Prm2 ageny 0 Prm3 ageny 1 Prm4 ageny 2 Prm5 ageny 3 Prm6 sex 1 Prm7 sex 2 Prm8 sbpny Prm9 sbpny*sex 1 Prm10 sbpny*sex 2 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 1356 1247.8571 0.9202 Scaled Deviance 1356 1247.8571 0.9202 Pearson Chi-Square 1356 1343.2629 0.9906 Scaled Pearson X2 1356 1343.2629 0.9906 Log Likelihood -623.9286 The SAS System 14 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 -2.8503 0.3298 -3.4967 -2.2038 74.67 ageny 0 1 -0.6912 0.2027 -1.0885 -0.2940 11.63 ageny 1 1 -0.5100 0.1928 -0.8878 -0.1322 7.00 ageny 2 1 -0.3897 0.1923 -0.7666 -0.0128 4.11 ageny 3 0 0.0000 0.0000 0.0000 0.0000 . sex 1 1 1.4410 0.3649 0.7258 2.1562 15.59 sex 2 0 0.0000 0.0000 0.0000 0.0000 . sbpny 1 0.8114 0.1456 0.5260 1.0969 31.05 sbpny*sex 1 1 -0.3112 0.1854 -0.6746 0.0522 2.82 sbpny*sex 2 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 Intercept <.0001 ageny 0 0.0006 ageny 1 0.0082 ageny 2 0.0427 ageny 3 . sex 1 <.0001 sex 2 . sbpny <.0001 sbpny*sex 1 0.0932 sbpny*sex 2 . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq ageny 3 13.36 0.0039 sex 1 16.76 <.0001 sbpny 1 54.38 <.0001 sbpny*sex 1 2.85 0.0913 Contrast Estimate Results Standard Label Estimate Error Alpha Confidence Limits alder 1 vs. 0 0.1812 0.2133 0.05 -0.2368 0.5993 Exp(alder 1 vs. 0) 1.1987 0.2557 0.05 0.7891 1.8208 alder 2 vs. 0 0.3015 0.2138 0.05 -0.1175 0.7206 Exp(alder 2 vs. 0) 1.3519 0.2891 0.05 0.8891 2.0557 The SAS System 15 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Contrast Estimate Results Standard Label Estimate Error Alpha Confidence Limits alder 3 vs. 0 0.6912 0.2027 0.05 0.2940 1.0885 Exp(alder 3 vs. 0) 1.9962 0.4046 0.05 1.3418 2.9697 Contrast Estimate Results Chi- Label Square Pr > ChiSq alder 1 vs. 0 0.72 0.3955 Exp(alder 1 vs. 0) alder 2 vs. 0 1.99 0.1585 Exp(alder 2 vs. 0) alder 3 vs. 0 11.63 0.0006 Exp(alder 3 vs. 0) The SAS System 16 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Model Information Data Set WORK.FRAMING Distribution Binomial Link Function Logit Dependent Variable chdny Number of Observations Read 1406 Number of Observations Used 1363 Number of Events 268 Number of Trials 1363 Missing Values 43 Class Level Information Class Levels Values ageny 4 0 1 2 3 sex 2 1 2 Response Profile Ordered Total Value chdny Frequency 1 1 268 2 0 1095 PROC GENMOD is modeling the probability that chdny='1'. Parameter Information Parameter Effect ageny sex Prm1 Intercept Prm2 ageny 0 Prm3 ageny 1 Prm4 ageny 2 Prm5 ageny 3 Prm6 sex 1 Prm7 sex 2 Prm8 sbpny*sex 1 Prm9 sbpny*sex 2 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 1356 1247.8571 0.9202 Scaled Deviance 1356 1247.8571 0.9202 Pearson Chi-Square 1356 1343.2629 0.9906 Scaled Pearson X2 1356 1343.2629 0.9906 Log Likelihood -623.9286 The SAS System 17 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 -2.8503 0.3298 -3.4967 -2.2038 74.67 ageny 0 1 -0.6912 0.2027 -1.0885 -0.2940 11.63 ageny 1 1 -0.5100 0.1928 -0.8878 -0.1322 7.00 ageny 2 1 -0.3897 0.1923 -0.7666 -0.0128 4.11 ageny 3 0 0.0000 0.0000 0.0000 0.0000 . sex 1 1 1.4410 0.3649 0.7258 2.1562 15.59 sex 2 0 0.0000 0.0000 0.0000 0.0000 . sbpny*sex 1 1 0.5002 0.1153 0.2742 0.7262 18.82 sbpny*sex 2 1 0.8114 0.1456 0.5260 1.0969 31.05 Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 ageny 0 0.0006 ageny 1 0.0082 ageny 2 0.0427 ageny 3 . sex 1 <.0001 sex 2 . sbpny*sex 1 <.0001 sbpny*sex 2 <.0001 Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq ageny 3 13.36 0.0039 sex 1 16.76 <.0001 sbpny*sex 2 54.57 <.0001 Contrast Estimate Results Standard Label Estimate Error Alpha alder 1 vs. 0 0.1812 0.2133 0.05 Exp(alder 1 vs. 0) 1.1987 0.2557 0.05 alder 2 vs. 0 0.3015 0.2138 0.05 Exp(alder 2 vs. 0) 1.3519 0.2891 0.05 alder 3 vs. 0 0.6912 0.2027 0.05 Exp(alder 3 vs. 0) 1.9962 0.4046 0.05 sbp, OR pr. gruppe: M 0.5002 0.1153 0.05 The SAS System 18 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Contrast Estimate Results Standard Label Estimate Error Alpha Exp(sbp, OR pr. gruppe: M) 1.6491 0.1902 0.05 sbp, OR pr. gruppe: K 0.8114 0.1456 0.05 Exp(sbp, OR pr. gruppe: K) 2.2512 0.3278 0.05 Contrast Estimate Results Chi- Label Confidence Limits Square Pr > ChiSq alder 1 vs. 0 -0.2368 0.5993 0.72 0.3955 Exp(alder 1 vs. 0) 0.7891 1.8208 alder 2 vs. 0 -0.1175 0.7206 1.99 0.1585 Exp(alder 2 vs. 0) 0.8891 2.0557 alder 3 vs. 0 0.2940 1.0885 11.63 0.0006 Exp(alder 3 vs. 0) 1.3418 2.9697 sbp, OR pr. gruppe: M 0.2742 0.7262 18.82 <.0001 Exp(sbp, OR pr. gruppe: M) 1.3155 2.0673 sbp, OR pr. gruppe: K 0.5260 1.0969 31.05 <.0001 Exp(sbp, OR pr. gruppe: K) 1.6922 2.9947 The SAS System 19 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Model Information Data Set WORK.FRAMING Distribution Binomial Link Function Logit Dependent Variable chdny Number of Observations Read 1406 Number of Observations Used 1363 Number of Events 268 Number of Trials 1363 Missing Values 43 Class Level Information Class Levels Values ageny 4 0 1 2 3 sex 2 1 2 Response Profile Ordered Total Value chdny Frequency 1 1 268 2 0 1095 PROC GENMOD is modeling the probability that chdny='1'. Parameter Information Parameter Effect ageny sex Prm1 Intercept Prm2 ageny 0 Prm3 ageny 1 Prm4 ageny 2 Prm5 ageny 3 Prm6 sex 1 Prm7 sex 2 Prm8 sbp Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 1357 1251.2084 0.9220 Scaled Deviance 1357 1251.2084 0.9220 Pearson Chi-Square 1357 1317.9481 0.9712 Scaled Pearson X2 1357 1317.9481 0.9712 Log Likelihood -625.6042 The SAS System 20 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 -4.1316 0.4324 -4.9792 -3.2840 91.28 ageny 0 1 -0.6838 0.2025 -1.0806 -0.2870 11.41 ageny 1 1 -0.5244 0.1934 -0.9034 -0.1453 7.35 ageny 2 1 -0.4156 0.1931 -0.7941 -0.0371 4.63 ageny 3 0 0.0000 0.0000 0.0000 0.0000 . sex 1 1 0.9116 0.1485 0.6206 1.2027 37.69 sex 2 0 0.0000 0.0000 0.0000 0.0000 . sbp 1 0.0174 0.0025 0.0126 0.0222 50.28 Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 ageny 0 0.0007 ageny 1 0.0067 ageny 2 0.0314 ageny 3 . sex 1 <.0001 sex 2 . sbp <.0001 Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq ageny 3 13.35 0.0039 sex 1 39.45 <.0001 sbp 1 51.22 <.0001 Contrast Estimate Results Standard Label Estimate Error Alpha m vs. k 0.9116 0.1485 0.05 Contrast Estimate Results Chi- Label Confidence Limits Square Pr > ChiSq m vs. k 0.6206 1.2027 37.69 <.0001 The SAS System 21 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Contrast Estimate Results Standard Label Estimate Error Alpha Exp(m vs. k) 2.4884 0.3695 0.05 alder 1 vs. 0 0.1594 0.2129 0.05 Exp(alder 1 vs. 0) 1.1728 0.2497 0.05 alder 2 vs. 0 0.2682 0.2141 0.05 Exp(alder 2 vs. 0) 1.3076 0.2799 0.05 alder 3 vs. 0 0.6838 0.2025 0.05 Exp(alder 3 vs. 0) 1.9814 0.4012 0.05 sbp: OR pr. mmHg 0.0174 0.0025 0.05 Exp(sbp: OR pr. mmHg) 1.0176 0.0025 0.05 sbp: OR pr. 10 mmHg 0.1742 0.0246 0.05 Exp(sbp: OR pr. 10 mmHg) 1.1902 0.0292 0.05 Contrast Estimate Results Chi- Label Confidence Limits Square Pr > ChiSq Exp(m vs. k) 1.8600 3.3291 alder 1 vs. 0 -0.2578 0.5767 0.56 0.4539 Exp(alder 1 vs. 0) 0.7727 1.7802 alder 2 vs. 0 -0.1514 0.6878 1.57 0.2104 Exp(alder 2 vs. 0) 0.8595 1.9893 alder 3 vs. 0 0.2870 1.0806 11.41 0.0007 Exp(alder 3 vs. 0) 1.3324 2.9465 sbp: OR pr. mmHg 0.0126 0.0222 50.28 <.0001 Exp(sbp: OR pr. mmHg) 1.0127 1.0225 sbp: OR pr. 10 mmHg 0.1260 0.2223 50.28 <.0001 Exp(sbp: OR pr. 10 mmHg) 1.1343 1.2489 The SAS System 22 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Model Information Data Set WORK.FRAMING Distribution Binomial Link Function Logit Dependent Variable chdny Number of Observations Read 1406 Number of Observations Used 1363 Number of Events 268 Number of Trials 1363 Missing Values 43 Class Level Information Class Levels Values ageny 4 0 1 2 3 sex 2 1 2 Response Profile Ordered Total Value chdny Frequency 1 1 268 2 0 1095 PROC GENMOD is modeling the probability that chdny='1'. Parameter Information Parameter Effect ageny sex Prm1 Intercept Prm2 ageny 0 Prm3 ageny 1 Prm4 ageny 2 Prm5 ageny 3 Prm6 sex 1 Prm7 sex 2 Prm8 sbp Prm9 sbpsq Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 1356 1245.5083 0.9185 Scaled Deviance 1356 1245.5083 0.9185 Pearson Chi-Square 1356 1324.6586 0.9769 Scaled Pearson X2 1356 1324.6586 0.9769 Log Likelihood -622.7541 The SAS System 23 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 -7.2950 1.4286 -10.0949 -4.4951 26.08 ageny 0 1 -0.6731 0.2032 -1.0712 -0.2749 10.98 ageny 1 1 -0.5077 0.1934 -0.8867 -0.1287 6.89 ageny 2 1 -0.4161 0.1932 -0.7948 -0.0374 4.64 ageny 3 0 0.0000 0.0000 0.0000 0.0000 . sex 1 1 0.9151 0.1483 0.6245 1.2057 38.09 sex 2 0 0.0000 0.0000 0.0000 0.0000 . sbp 1 0.0552 0.0164 0.0231 0.0873 11.34 sbpsq 1 -0.0001 0.0000 -0.0002 -0.0000 5.44 Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 ageny 0 0.0009 ageny 1 0.0086 ageny 2 0.0313 ageny 3 . sex 1 <.0001 sex 2 . sbp 0.0008 sbpsq 0.0197 Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq ageny 3 12.82 0.0051 sex 1 39.80 <.0001 sbp 1 11.99 0.0005 sbpsq 1 5.70 0.0170 Contrast Estimate Results Standard Label Estimate Error Alpha Confidence Limits m vs. k 0.9151 0.1483 0.05 0.6245 1.2057 Exp(m vs. k) 2.4969 0.3702 0.05 1.8672 3.3390 alder 1 vs. 0 0.1654 0.2134 0.05 -0.2529 0.5836 Exp(alder 1 vs. 0) 1.1798 0.2518 0.05 0.7766 1.7925 alder 2 vs. 0 0.2570 0.2148 0.05 -0.1640 0.6780 Exp(alder 2 vs. 0) 1.2930 0.2777 0.05 0.8488 1.9699 The SAS System 24 14:53 Tuesday, April 25, 2006 The GENMOD Procedure Contrast Estimate Results Standard Label Estimate Error Alpha Confidence Limits alder 3 vs. 0 0.6731 0.2032 0.05 0.2749 1.0712 Exp(alder 3 vs. 0) 1.9603 0.3982 0.05 1.3164 2.9190 Contrast Estimate Results Chi- Label Square Pr > ChiSq m vs. k 38.09 <.0001 Exp(m vs. k) alder 1 vs. 0 0.60 0.4384 Exp(alder 1 vs. 0) alder 2 vs. 0 1.43 0.2315 Exp(alder 2 vs. 0) alder 3 vs. 0 10.98 0.0009 Exp(alder 3 vs. 0)