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st: multiple imputations with propensity analyses


From   marisa sklar <skoister@yahoo.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: multiple imputations with propensity analyses
Date   Mon, 28 Jul 2008 12:29:45 -0700 (PDT)

Hello Everybody-

I am trying to evaluate the effectiveness of a community mental health intervention for adolescents using a non-equivalent treatment group design, with pre- and post-treatment assessments.

There is quite a bit of missing data, so I have used the ice command to create multiply imputed datasets.  I then used the pscore command, with these multiply imputed datasets, to establish propensity scores and strata.

I now would like to estimate the average treatment effect across strata, with the combined multiply imputed datasets.  

My syntax is as follows

mim, cat(fit): atts post_activities_t activities_t group, pscore(pscore2) blockid(myblock2)

wherein the "activities_t" and "post_activities_t" are pre- and post-treatment assessment scores of overall engagement in activities, and "group" is the assignment to either treatment group or control/comparison group.

I have also tried the above syntax using attnd, for nearest neighbor matching, rather than stratification.

The error message I receive when running this syntax is "last estimates not found."

I can successfully use the mim command with a regression statement, and I can successfully use the atts command without using the multiply imputed data.

Does anybody have any advice on how I can use the atts command with the mim command to get an estimated treatment effect?  I'd greatly appreciate it!

Much thanks!

Marisa
 




      
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