[R] propensity score adjustment using R

[Ben Domingue]

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...
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