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From: sudip chatterjee on 14 Sep 2009 13:11
In the first few pages of GLIMMIX manual you will get the
assumptions that GLIMMIX use to estimate the parameters of the kind of
model you have specified. Do you have any specific question in your
mind related to the assumption of GLMM ?

On 9/14/09, Ryan <ryan.andrew.black(a)gmail.com> wrote:
> Hi,
>
> I thought I should ask this question again using a more proper
> heading. The question is
> around assumptions to running a multilevel logistic regression (a
> type
> of generalized linear mixed model). Could someone explain and/or
> provide a reference for the assumptions to running a multilevel
> logistic regression model.
>
> Let's stick with a simple example where we have a binary dependent
> variable (0/1), one continuous explanatory variable, and a random
> intercept. One might code up this type of model in the GLIMMIX
> procedure as follows:
>
>
> proc glimmix data=mydata method=quad;
> class person;
> model y = x / s link=logit dist=binary;
> random intercept / subject = person;
> run;
>
>
> What are the specific assumptions to this test (i.e. linearity,
> normality)?
>
> Any help would be greatly appreciated.
>
> Thanks!
>
> Ryan
>
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