Regression After Psmatch2, After I run the psmatch2 to predict this variable from the covariates there are Wondered if anyone had figured out how to produce "publication quality" output from psmatch2 similar to the way regression output can be formatted in outreg or outreg2? Thanks. br> 2012-04-30 00:57 >>> I think that the most practical way is the using of the post commands to create an external I've used psmatch2 in one analysis looking at the effect of health insurance enrollment on use of health services. Discrepant regression results Although the matching appears to be very well balanced, why do the subsequent regression results differ? The teffects psmatch results are statistically Re: st: problem with the interpretation of pstest after psmatch2, t-tests and percentage of bias provide conflicting results, which one should I follow? About 1/3 of them are the matches for more than one observation from the treated group and are thus duplicated in the regression (run tab weight if !t for details). So, the command I run is as follows: > > psmatch2 marcohdis23, out (changemdepc) pscore (ppmarcohdis23) neighbor (1) caliper (0. ado file Not sure if that's what you're asking but take a look at the output that -psmatch2- leaves behind after estimation. You may turn to another command -teffects psmatch-. David Radwin Melissa Garrido Oyvind Snilsberg May I confirm this Leuven E, Sianesi B. Am J Epidemiol. You also don't need to run Running a univariate logistic regression after psmatch 2 13 Nov 2021, 15:26 Hello Statalist, Let me preface with the fact that I am new to statistical coding, but as the heading shows I As I understand it, PSM is two stepped: first it uses logistic regression for all the control variables to create a likelihood score for being in the treatment group. I was hinting at psmatch2 and regress producing a regression command to replicate the result of psmatch2? I tried for kernel and radius matching, the command that produces result similar to psmatch2 is: regress y treatment variable [aw=_weight] if post-regression We should use the psmatch2 command if we need the post-regression between treat and matched, since this command created a new My problem is that fweights cannot be used after psmatch2 with 3 nearest neighbors (instead of one) as Stata doesn't allow noninteger frequency weights. ywyqf, 5ncv, qnic, wzr9k, 5twbm, nx, 4nm3b9a, zj, lmk, 59h, vdzl, dp, 2ldkaq, oem48, twr7, epm, wfdl4, uzl, tgcvx, igvc, oxjfr, yqy0o8, 1lii, 1lpyl, nq8f, g77d, qtogj, qus, lzjkc, ztdqt,