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From | Mandy fu <mandy.fu1@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: estimation after multiple imputation: difference between regular estimation and post-imputation estimation |
Date | Thu, 11 Mar 2010 09:43:36 -0500 |
Hello everyone, I was wondering if anyone could give some hint what causes the differences of using regular estimation and post-multiple imputation estimation. Let me use an example. After multiple imputation, I know I should use --mim: xtmixed----- instead of simply --xtmixed--- to conduct the growth curve analysis. But I am not very clear about the reason. Could anyone give some help here? Additionally, based on previous discussion in statalist , using ----mim:xtmixed--- is very tricky to get the model level characteristics, such as log likelihood. If I would like to compare the fit-goodness of several models , does it make sense to use the log-likelihood for the models from using ---xtmixed--on the imputed data sets as an approximate? Thanks for your time! Best regards, Mandy * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/