Dear All,

I am fitting a model for a binary response variable measured repeatedly at multiple visits.  I am fitting the binomial GLMM using the glmer() function in lme4 package.  How can I evaluate the model assumptions (e.g., residual diagnostics, covariate form, adequacy of random effects distribution) for a binomial GLMM?  Could you please give me some suggestions on how to do this?  Are there any pedagogical examples or data sets where these issues have been demonstrated for binomial GLMMs?

I appreciate your help very much.

Thank you,
Ravi


Ravi Varadhan, Ph.D. (Environmental Eng.), Ph.D. (Biostatistics)
Associate Professor,
Division of Geriatric Medicine & Gerontology
School of Medicine,
Johns Hopkins University
Ph: 410-502-2619
Email: ravi.varadhan@jhu.edu<mailto:ravi.varadhan@jhu.edu>
http://www.jhsph.edu/research/centers-and-institutes/johns-hopkins-center-on-aging-and-health/people/Faculty_personal_Pages/Varadhan.html


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