Greetings,
I have data with samples nested within individuals that I suspect would best
be analyzed with GLLAMM where I can include a random intercept and one or
more random coefficients. The difficulty is that the dependent variable is
a proportion (0 to 1). Is anyone aware if GLLAMM handles this appropriately
using family(binomial) and link(logit) or is it treating non-zeros as ones?
glm does handle this correctly, but cannot include random effects. I have
run the data using GLLAMM, but it is not clear to me from the results how
the non-zero values are being handled.
I am trying to avoid doing a logit transformation (see
http://www.stata.com/support/faqs/stat/logit.html).
Thanks very much for any insight you may have!
Regards,
Cam
Cam Gillies
Biological Sciences
University of Alberta
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