Re: st: comparing two mim gllamm logistic models

[jl591164@albany.edu]

> 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.
>
By variance, do you mean variance at each level of the models? They are
not in the ouput of the mim:gllamm models. How i may obtain the variances?
One model may have a smaller level-1 variance than another model, but a
larger level-2 varince. Then it may be hard to say which model performs
better. Also, how i may test whether they are different from zero? Thanks
a lot.

Junqing

> --------------------------
> Maarten L. Buis
> Institut fuer Soziologie
> Universitaet Tuebingen
> Wilhelmstrasse 36
> 72074 Tuebingen
> Germany
>
> http://www.maartenbuis.nl
> --------------------------
>
>
>
>
> *
> *   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/
>

*
*   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/