propensity score adjustment using R
I'm not quite sure what you mean. If all you need is propensity scores to run an IPW analysis, the fitted values should work. Having many binary covariates shouldn't be a problem, the whole point of the propensity score is boiling down many dimensions to a single one. I use matchit() for my psm needs, but it may not be so useful for IPW. Ben
On Thu, Sep 18, 2008 at 11:00 AM, ran2 <bunny at lautloscrew.com> wrote:
Frank E Harrell Jr wrote:
That is a high variance procedure as compared with covariate adjustment using the propensity score, or stratification. Frank Harrell
Ah, wait what if I got very high dimensional X ? Even with 20 binary covariates i would end up with more than 1 million possibilities... -- View this message in context: http://www.nabble.com/propensity-score-adjustment-using-R-tp19555722p19557409.html Sent from the R help mailing list archive at Nabble.com.
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