st: Bootstrapping weighted glm regression

[Stephen Amrock <stephen.amrock@gmail.com>]

Hi,

I'm conducting survival analysis using inverse probability weighting
(IPW) (i.e., stabilized weights generated from propensity scores). I'm
hopeful someone will be able to help with some guidance regarding
Stata's (1) weighting; and (2) bootstrap features. It appears that
bootstrap never can work with weighted data. Is there a workaround for
this?

Stata, for example, can compute:

glm [outcome] [treatment], family(binomial) link(log) eform vce(boot,
r(1000) nodots)

but can NOT perform bootstrapping for the following:

glm [outcome] [treatment] [pw=weight], family(binomial) link(log)
eform vce(boot, r(1000) nodots)

Any advice would be much appreciated, since Statalist archives I've
found deal with complex survey sampling (i.e., BRR).

Thanks and best wishes,
Steve
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