The authors describe a method for assessing model inadequacy in maximum likelihood estimation of a generalized linear mixed model. They treat the latent random effects in the model as missing data and ...

Hence, the regression model may have inadequate explanatory power, and parameter estimates may be biased and their significance overestimated. The effects of this overdispersion are examined within a ...