Ben Domingue wrote:
>
> 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
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 m
Frank E Harrell Jr wrote:
>
> That is a high variance procedure as compared with covariate adjustment
> using the propensity score, or stratification.
>
> Frank Harrell
>
Yes, I guess the foo$fitted.values was the syntax i missed. I know this
method is not optimal and that it yields high va
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