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st: RE: GLLAMM and a dependent variable that is a proportion


From   "Maarten Buis" <M.Buis@fsw.vu.nl>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: GLLAMM and a dependent variable that is a proportion
Date   Thu, 28 Sep 2006 18:14:44 +0200

-glm- (and -betafit-) will allow the cluster option.
HTH,
Maarten

-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology 
Vrije Universiteit Amsterdam 
Boelelaan 1081 
1081 HV Amsterdam 
The Netherlands

visiting adress:
Buitenveldertselaan 3 (Metropolitan), room Z434 

+31 20 5986715

http://home.fsw.vu.nl/m.buis/
-----------------------------------------

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu]On Behalf Of Cameron Gillies
Sent: donderdag 28 september 2006 18:03
To: statalist@hsphsun2.harvard.edu
Subject: st: GLLAMM and a dependent variable that is a proportion

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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