Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
From | Zeynal Karaca <zeynalkaraca@gmail.com> |
To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
Subject | Re: st: Re: propensity score |
Date | Wed, 1 Jun 2011 13:01:52 -0400 |
Thanks for the follow-ups. I believe I got the answers for my simple research question when utilizing Stata. Thanks again... Zeynal Karaca, PhD On Jun 1, 2011, at 11:01 AM, "Ariel Linden. DrPH" <ariel.linden@gmail.com> wrote: > The questions you are asking are basic to the design and structure of > propensity score matching. As a Stata list-serve, we mostly deal with issues > related to implementation of statistics in Stata and mostly assume the > person querying the list-serve has a grasp of the subject matter. > > There are numerous papers and books on the topic of conducting a study using > propensity scored matching techniques. If you can't find them on your own, > we can certainly point you in that direction. > > Ariel > > Date: Tue, 31 May 2011 06:29:50 -0400 > From: zeynal karaca <zeynalkaraca@gmail.com> > Subject: Re: st: Re: propensity score > > While digesting different component of propensity ADO codes, here is > another question on the same subject for which any help is > appreciated: > > The research question I am working on is to tease out the differences > in treatment costs between two different insurance holders, say > Insurance A and Insurance B. I am using an administrative data for > this purpose. The process I am running is to select a set of Insurance > A beneficiaries for whom I can get a match from Insurance B > beneficiaries based on observed characteristics, call X1 and X2. > > In the first stage, I am running a logit regression to determine > probability of choosing insurance A using X1 and X2 and get the > predicted probability, call Phat. In the second stage, GLS regression, > I am regressing the cost per beneficiaries on X2, X3 and Phat assuming > that the Phat will capture the differences in costs controlling for > other factors. So the naive question I have here is about X2, which > affects both the choice of insurance type during enrollment period as > well as the treatment cost associated with that beneficiary when > comparing two cohorts. > > Any suggestions regarding how I should treat X2? Should it be included > in the second stage, GLS regression, of analysis, if so how to > overcome the case where right hand side variables are function of each > other? Are there other issues should I worry about while first running > pscore and then psmathc2? > > As always, thanks in advance for any help provided. > > Zeynal Karaca > > > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/