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From | "Ariel Linden, DrPH" <ariel.linden@gmail.com> |
To | <statalist@hsphsun2.harvard.edu> |
Subject | RE: Re: st: PSM: Balance diagnostics using the empirical sampling distribution of the standardized difference |
Date | Thu, 15 Aug 2013 10:01:32 -0400 |
A correction and some additions: -ebalance- (http://fmwww.bc.edu/RePEc/bocode/e) is not for checking balance. It is a program that uses an entropy weighting approach to achieve balance in covariates. -pstest- (http://fmwww.bc.edu/RePEc/bocode/p) is a post-estimation command that comes part of the -psmatch2- program -imbalance- (http://fmwww.bc.edu/RePEc/bocode/c) is a post-estimation command that comes part of the -cem- program Date: Wed, 14 Aug 2013 08:42:54 -0400 From: Richard Goldstein <richgold@ix.netcom.com> Subject: Re: st: PSM: Balance diagnostics using the empirical sampling distribution of the standardized difference there are at least 3 user-written routines that might be related to this article; use -findit- to find and install these ebalance pbalchk mpbalchk (version of preceding for MI data) in addition for those using -cem- for matching, there are routines from the -cem- authors also Rich On 8/14/13 8:31 AM, Lukas Borkowski wrote: > Dear list, > > based on this statalist post (http://www.stata.com/statalist/archive/2013-01/msg00516.html) I have read Austin, P.C. (2009) on how to check the balancing properties of the covariates between matched treated and untreated observations after PSM using the empirical sampling distribution of the standardized difference as alternative to t-tests. I was wondering whether there is a Stata command (user-written or else) to run this approach? My search was not successful. > > Best, Lukas > > Austin, P.C., 2009. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statistics in Medicine, 28(25), pp.3083-3107. > > # > Lukas Borkowski > University of London, School of Oriental and African Studies (SOAS) * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/