Statalist


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Re: st: propensity score matching


From   "Austin Nichols" <austinnichols@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: propensity score matching
Date   Tue, 28 Oct 2008 11:02:29 -0400

Murali Kuchibhotla <muralik@iastate.edu>:
I think you need to first think about what the relevant treatment
effect is, i.e. what would you compute assuming you observed all L
outcomes, which should tell you how to proceed with matching.  If
there is a baseline treatment "control" then you want to match the
other L-1 types to that group and estimate L-1 different treatment
effects (maybe).  If there is one treatment group and L-1 "control"
groups, see http://www.biostat.jhsph.edu/~estuart/RubinStuartJSM2005.pdf

On Tue, Oct 28, 2008 at 10:21 AM, Murali Kuchibhotla
<muralik@iastate.edu> wrote:
> Hello,
>      I was wondering if anyone is aware of the existance of a Stata module
> out there that can implement propensity score matching in the presence of
> multiple treatments, i.e., where there are L>2 outcomes{Y(1),Y(2)..,Y(L)} and
> only component of which can be observed for each individual, leaving the other
> L-1 outcomes as counterfactuals.
*
*   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/



© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index