Dear Peter:
There is nothing special to program in propensity score models. You simply
use existing logistic regression ("glm" with logit or some other links)
software for a binary treatment variable, as a function of all covariates
that may possibly affect the assignement. In other words, you model
Pr(Z=1 | covariates), where Z=1 indicates treatment and Z=0 indicates
placebo or some other treatment.
Ravi.
----- Original Message -----
From: "Peter Flom" <flom@ndri.org>
To: <s-news@lists.biostat.wustl.edu>
Sent: Tuesday, April 22, 2003 1:49 PM
Subject: [S] Propensity score models
> I recently attended a talk on Propensity Score Models by Rajeev
> Dehejia.
> It was very interesting. It's a method for dealing with sampling bias
> in nonexperimental studies.
>
> I was wondering if anyone had programmed this in S Plus?
>
> Thanks
>
> Peter
>
> Peter L. Flom, PhD
> Assistant Director, Statistics and Data Analysis Core
> Center for Drug Use and HIV Research
> National Development and Research Institutes
> 71 W. 23rd St
> New York, NY 10010
> (212) 845-4485 (voice)
> (917) 438-0894 (fax)
>
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