Here's the rest of the output Any thoughts? I don't think a param=ref is necessary since I have asked sas to compute the model descending and have specified the reference for each variable in the class statement, however, i am still very new at this, so please correct me if i am at all mistaken or making assumptions. thanks again for your help. The LOGISTIC Procedure Data Set NH.DIAUDIOALQ4YRFFQ2YRDEPLIMITED Response Variable MajorDepression Number of Response Levels 2 Weight Variable wtmec4yr wtmec4yr Model binary logit Optimization Technique Fisher's scoring Number of Observations Read 1175 Number of Observations Used 955 Sum of Weights Read 16270021 Sum of Weights Used 14184719 1 1 38 424187 2 0 917 13760531 Probability modeled is MajorDepression=1. Note: 220 observations were deleted due to missing values for the response or explanatory variables. bptacat Mild 1 0 0 0 Moderate 0 1 0 0 Normal -1 -1 -1 -1 Profound 0 0 1 0 Severe 0 0 0 1 RIAGENDR 1 -1 2 1 race Mexican American 1 0 0 0 Non-hispanic Black 0 1 0 0 Non-hispanic White -1 -1 -1 -1 Other - Including Multiracial 0 0 1 0 Other Hispanic 0 0 0 1 educ HS grad 1 0 Less than HS grad -1 -1 Some college or more 0 1 dhtn No -1 Yes 1 dstroke No -1 Yes 1 dm diabetic 1 nondiabetic -1 nfcsmoke current 1 0 former 0 1 never -1 -1 hause No -1 Yes 1 Convergence criterion (GCONV=1E-8) satisfied. AIC 3813142.2 3495939.9 SC 3813147.0 3496032.3 -2 Log L 3813140.2 3495901.9 Likelihood Ratio 317238.268 18 <.0001 Score 366764.970 18 <.0001 Wald 304524.605 18 <.0001 bptacat 4 14514.4119 <.0001 age 1 6048.8190 <.0001 RIAGENDR 1 12274.5339 <.0001 dhtn 1 570.7600 <.0001 dstroke 1 117361.331 <.0001 race 4 46042.7111 <.0001 educ 2 51550.2043 <.0001 dm 1 40.8251 <.0001 nfcsmoke 2 11605.2709 <.0001 hause 1 15459.4100 <.0001 Likelihood estimates Intercept 1 -7.5198 8.7698 0.7353 0.3912 bptacat Mild 1 4.9201 8.4785 0.3368 0.5617 bptacat Moderate 1 5.4493 8.4785 0.4131 0.5204 bptacat Profound 1 -7.7375 31.6642 0.0597 0.8070 bptacat Severe 1 -7.5110 14.8127 0.2571 0.6121 age 1 -0.0457 0.000588 6048.8190 <.0001 RIAGENDR 2 1 0.2018 0.00182 12274.5339 <.0001 dhtn Yes 1 0.0439 0.00184 570.7600 <.0001 dstroke Yes 1 0.7128 0.00208 117361.331 <.0001 race Mexican American 1 3.6052 2.2411 2.5879 0.1077 race Non-hispanic Black 1 2.8109 2.2411 1.5731 0.2098 race Other - Including Multiracial 1 -11.1484 8.9643 1.5467 0.2136 race Other Hispanic 1 2.2693 2.2411 1.0254 0.3113 educ HS grad 1 0.3007 0.00225 17917.2131 <.0001 educ Some college or more 1 -0.5879 0.00260 51011.4087 <.0001 dm diabetic 1 -0.0123 0.00193 40.8251 <.0001 nfcsmoke current 1 0.2691 0.00313 7379.2558 <.0001 nfcsmoke former 1 -0.2601 0.00245 11235.5209 <.0001 hause Yes 1 -0.4633 0.00373 15459.4100 <.0001 Odds Ratio Estimates with Confidence Intervals bptacat Mild vs Normal 1.042 1.034 1.049 bptacat Moderate vs Normal 1.769 1.751 1.786 bptacat Profound vs Normal <0.001 <0.001 >999.999 bptacat Severe vs Normal <0.001 <0.001 >999.999 age 0.955 0.954 0.956 RIAGENDR 2 vs 1 1.497 1.486 1.508 dhtn Yes vs No 1.092 1.084 1.100 dstroke Yes vs No 4.160 4.127 4.195 race Mexican American vs Non-hispanic White 3.134 3.101 3.167 race Non-hispanic Black vs Non-hispanic White 1.416 1.402 1.430 race Other - Including Multiracial vs Non-hispanic White <0.001 <0.001 >999.999 race Other Hispanic vs Non-hispanic White 0.824 0.799 0.849 educ HS grad vs Less than HS grad 1.014 1.006 1.021 educ Some college or more vs Less than HS grad 0.417 0.413 0.421 dm diabetic vs nondiabetic 0.976 0.968 0.983 nfcsmoke current vs never 1.321 1.308 1.333 nfcsmoke former vs never 0.778 0.772 0.783 hause Yes vs No 0.396 0.390 0.402 Percent Concordant 67.4 Somers' D 0.371 Percent Discordant 30.4 Gamma 0.379 Percent Tied 2.2 Tau-a 0.028 Pairs 34846 c 0.685
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