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Re: st: comparing two mim gllamm logistic models


From   Maarten buis <maartenbuis@yahoo.co.uk>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: comparing two mim gllamm logistic models
Date   Mon, 7 Jun 2010 19:18:26 +0000 (GMT)

--- On Mon, 7/6/10, jl591164@albany.edu wrote:
> For the second point, it seems to me that using the one
> half of the p value will take care of the boundary issue.

Unfortunately, the problem is more complicated than that,
the boundery problem influences the sampling distribution 
under the null hypothesis, as was discussed in the 
help-file I refered to earlier. To make things even more
complicated, multiple imputation is based on the assumption
that the sampling distribution is normal, so if the sampling
distribution becomes to exotic...

> Singer and Willett ("Applied longitudinal data analysis"
> )recommended to compare the deviance statistics(-2ll) 
> of nested modelds with the degree of freedom being the
> additional constrainted imposed. 

Likelihood ratio test don't generalize easily to multiple
imputation. 

I guess that your best option is to just look at the 
size of the variance and decide whether it is small enough
to be considered zero or not.

Hope this helps,
Maarten

--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany

http://www.maartenbuis.nl
--------------------------


      

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