On Estimation and Prediction in Mixed Poisson Regression Models for Overdispersed Count Data with Multicollinearity
Mixed Poisson regression models are widely used for analyzing count data across diverse disciplines, owing to their ability to accommodate overdispersion. A persistent challenge in such models, however, is multicollinearity among explanatory variables, which undermines the reliability of regression coefficient estimate...