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Re: st: table & chi-square from multiply imputed survey data (-ice-, -mim-) [repost]
From |
Steven Samuels <[email protected]> |
To |
[email protected] |
Subject |
Re: st: table & chi-square from multiply imputed survey data (-ice-, -mim-) [repost] |
Date |
Thu, 5 Feb 2009 15:19:20 -0500 |
Michael: what happens if your command begins "mim: xi:"? Also, what
if you define your own indicators and skip -xi-?
-Steve
On Feb 5, 2009, at 2:05 PM, Michael I. Lichter wrote:
Thank you Stas and Maarten for the thoughtful and useful responses.
Thanks in particular to Stas for the pointer to his library, and
Maarten for the pointer to Rose Medeiros' presentation (though I
can't say I know what to do with it). I also appreciate the
endorsement of -mlogit- (in some form). (I would try Stas'
suggested bootstrap, mlogit, & repeat method if I knew how to
implement it.)
I find it interesting that multiple imputation as it exists now
does not deal with seemingly-simple problems like producing tables
and chi-square statistics, but works well for apparently-complex
problems like producing coefficients and standard errors for
multivariate models. Perhaps there's something here for an
ambitious grad student ... :)
FWIW, when I try mlogit (or svy mlogit) with mim -- e.g., "xi: mim:
mlogit B i.A" I get a "conformability error". I assume that the
error is coming from mim rather than mlogit because I can run
mlogit without mim on the whole dataset and on each replicate
individually without problems. This could easily be a result of the
particular variables I'm looking at, but it would be nice to know
how to avoid "conformability error" in mim.
Thanks again.
Michael
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