Stata 9.2, updated.
I'm trying to understand why, contrary to the documentation, these
two do not give the same results:
. glm rate exposed, family(binomial) link(logit) robust
. xtgee rate exposed, family(binomial) link(logit) robust /*
*/corr(independent) i(id)
The -glm- converges nicely, the -xtgee- gives an error:
estimates diverging (missing predictions)
r(430);
One feature is that the dependent variable is a proportion, not 0/1;
the -glm- model is the 'recommended' approach in this case:
http://www.stata.com/support/faqs/stat/logit.html
My goal is to reproduce the -glm- model with -xtgee-, and then specify
a different error structure. I get the same problem with or without
the -robust- option.
thanks,
Jeph
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