[R-sig-ME] Count GLMM ms and R code
David Atkins
datkins at u.washington.edu
Mon Nov 28 20:54:37 CET 2011
Hi all--
With several colleagues we have recently finished off a ms on
generalized linear mixed models (GLMMs) for count outcomes, including
zero-altered models. We focus on longitudinal addictions data, but
hopefully we've written in an accessible way to researchers / data
analysts in other fields. The R code focuses primarily on the lme4 and
MCMCglmm packages (with a nod to a few others).
The (draft) ms, two datasets, and R code can be found:
http://depts.washington.edu/cshrb/newweb/statstutorials.html
[last ms listed at bottom of page]
We hope this might be useful generally, but perhaps particularly to
folks on this list given the R code.
Please let me know if you come across any errors, or have suggestions
for improvements to code (or ms!).
cheers, Dave
--
Dave Atkins, PhD
Research Associate Professor
Department of Psychiatry and Behavioral Science
University of Washington
datkins at u.washington.edu
Center for the Study of Health and Risk Behaviors (CSHRB)
1100 NE 45th Street, Suite 300
Seattle, WA 98105
206-616-3879
http://depts.washington.edu/cshrb/
(Mon-Wed)
Center for Healthcare Improvement, for Addictions, Mental Illness,
Medically Vulnerable Populations (CHAMMP)
325 9th Avenue, 2HH-15
Box 359911
Seattle, WA 98104
http://www.chammp.org
(Thurs)
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