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Generalized linear mixed models are commonly used when modeling counts or dichotomous observations on subjects within clusters such as patients in hospitals. When the sample sizes at the cluster levels are large, Bayesian inference about parameters of generalized linear mixed models using Markov Chain Monte Carlo sampling can be computationally slow. Standard large sample approximations can provide...
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