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st: comparing nested models after multiple imputation


From   Chelsea Garneau <chelsealynn.garneau@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: comparing nested models after multiple imputation
Date   Sun, 20 May 2012 15:08:02 -0400

Hi Everyone,

I'm trying to find a way to compare nested models using xtreg, xtlogit,
xtmelogit, xtmixed after doing multiple imputation.  By "nested models" I
mean subsequent models with additional predictors added, not multilevel -
though my data are multilevel data as well. Because the LL's are not
pooled, there is no e(ll) for the lrtest.  Rubin's rules combine parameter
estimates and standard errors, not LL's, but what is the best way to test
nested models using xt commands after mi?

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