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glmm for binomial data? (OT)

3 messages · Damien Joly, Brian Ripley, Andrew Perrin

#
A while ago (April 2002) there was a short thread on software for generalized 
linear mixed models. 

Since that time, has anyone written or found R code to use a glmm to analyze 
binomial data?  I study CWD in white-tailed deer, and I'd like to do a 
similar analysis as Kleinschmidt et al. (2001, Am. J. Epidemiology 153: 
1213-1221) used to assess control for spatial structure in malaria incidence 
in South Africa.  They used SAS PROC MIXED in an iterative procedure with a 
poisson model, although due to widely varying sample sizes I'd prefer to 
treat my data as binomial (e.g., CWD pos or neg rather than number of CWD pos 
deer).

Thanks,

Damien
#
Same as then.

glmmPQL in MASS (approximate, but not a bad approximation)
glmm in GLMMGibbs (needs careful tuning in the binomial case, but
has worked for me).

New info:

There is a section and a couple of worked examples in MASS4.  The
best method there uses R/S+C code which is not yet available to public
release, but we expect it to be within 6 months.
On Mon, 28 Oct 2002, Damien O. Joly wrote:

            

  
    
#
I used glmmPQL to estimate multilevel (3-level) probit models.  I can try
to dig up the code if you're interested.

Andy Perrin

----------------------------------------------------------------------
Andrew J Perrin - http://www.unc.edu/~aperrin
Assistant Professor of Sociology, U of North Carolina, Chapel Hill
clists at perrin.socsci.unc.edu * andrew_perrin (at) unc.edu
On Mon, 28 Oct 2002, Damien O. Joly wrote:

            
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