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mi est, post: svy: logit ro i.d_e i.pel d_pov i.p_bsc i.p_bnvq_s4 i.involv_s4 i.p_sy_s4 c.p_age_sample_s1##c.p_age_sample_s1 i.p_sex_s4 mimrgns , dydx(i.pek ) cmdmargins predict(pr)
Logit coefficientsCode: Margins
Multiple-imputation estimates Imputations = 30 Survey: Logistic regression Number of obs = 4,460 Number of strata = 3 Population size = 4,549.841 Number of PSUs = 200 Average RVI = 0.3858 Largest FMI = 0.9258 Complete DF = 197 DF adjustment: Small sample DF: min = 2.31 avg = 175.31 max = 195.02 Model F test: Equal FMI F( 34, 157.1) = 90.89 Within VCE type: Linearized Prob > F = 0.0000 ro Coef. Std. Err. t P>t [95% Conf. Interval] d_pel stage1 1.556983 1.072342 1.45 0.148 -.558007 3.671973 stage2 -.5627057 .9420055 0.60 0.551 -2.420539 1.295127 stage3 2.444653 1.197903 2.04 0.043 .0821298 4.807177 stage4 .3289372 1.40129 0.23 0.815 -2.434705 3.092579 stage5 -.6252651 1.675261 0.37 0.709 -3.929289 2.678759
dy/dx Std. Err. t P>t [95% Conf. Interval] d_pel stage1 .1470687 .1426974 1.03 0.304 -.1343723 .4285098 stage2 -.0241331 .0347124 -0.70 0.488 -.0925933 .0443271 stage3 .2947183 .218825 1.35 0.180 -.1368519 .7262885 stage4 .0199796 .0946079 0.21 0.833 -.1666073 .2065665 stage15 -.0261499 .0563228 -0.46 0.643 -.1372328 .084933 Note: dy/dx for factor levels is the discrete change from the base level.
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