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st: MI and Mixed Effects Models


From   Kris Anderson <[email protected]>
To   [email protected]
Subject   st: MI and Mixed Effects Models
Date   Wed, 04 Jan 2012 10:06:49 -0800

I have run a number of models using mi estimate: xtmelogit. I am having trouble getting some information when using the mi option.

1. When I run xtmelogit without mi, I get significance values for the random effects parameter (chi bar squared). I don't get this when using MI. How do I estimate whether the random effects parameter is significant using MI? On a related note, how can I estimate the interclass correlations?

2. I have significant 2 way interactions in these models. Is there a way to probe these in Stata taking the random effects into account? I have searched the documentation without luck.

I have found a website that allows for probing these interactions using R. However, I am having difficulty pulling together all the coefficients I need using Stata. The program requires that I have get the asymptotic covariance matrix of the regression parameters. How can I get these from Stata? estat only has options for recovariance (it doesn't seem to work when I use MI anyway).

I would appreciate any help or suggestions. I have been combing the documentation and the web without luck.

Thanks,
Kris
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