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Marianne Kang wrote:
> My questions is how can I tell if the random effect is significant? from
> Covariance parameter estimates?
>
> Here is my code and result:
> proc glimmix data=a;
> model late_hiv_testing(event="1")=/link=logit dist=binary ddfm=bw solution;
> random intercept/subject=zipcode;
> run;
If you have SAS 9.2 you can use the COVTEST statement in GLIMMIX.
proc glimmix data=a;
model late_hiv_testing(event="1")=/link=logit dist=binary ddfm=bw
solution;
random intercept/subject=zipcode;
covtest 'Ho: No random effects' ZeroG; * tests if G matrix can be
reduced to a 0 matrix;
run;
As an aside, I might be tempted to put zipcode in a class statement.
But I don't know enough about your data to say one way or the other.
Jerry
UGA
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