[R] Multilevel modeling with count variables

[Corey Sparks]

have you tried using glmer?
If your dependent variable is poisson distributed, you can try something
like
fit<-glmer(y~x+(1|group), family=poisson)

and if you have differential exposure, you can do

fit<-glmer(y~offset(log(exposure))+x+(1|group), family=poisson)

Is this what you are asking?
With regard to the t-statistics generated from lmer/glmer, you can get
p-values by using dt(), or look at your confidence intervals for the
parameters.
Does this help?

Corey


-----
Corey Sparks, PhD
Assistant Professor
Department of Demography and Organization Studies
University of Texas at San Antonio
501 West Durango Blvd
Monterey Building 2.270C
San Antonio, TX 78207
210-458-3166
corey.sparks 'at' utsa.edu
https://rowdyspace.utsa.edu/users/ozd504/www/index.htm
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