Some Aspects of Bayesian Inference in Skewed Mixed Logistic Regression Models

Mixed models arise as a parsimonious and useful strategy to model correlated data or to accommodate outliers and overdispersion produced by non-observed or latent variables. Correlated data occur, for instance, in cases where the individuals are clustered or in longitudinal studies.