Modeling overdispersed longitudinal binary data using a combined beta and normal random-effects model

Abstract

We applied a flexible modeling framework to analyze binary and binomial longitudinal data. Instead of accounting for overdispersion, and correlation separately, both can be accommodated simultaneously, by allowing two separate sets of the beta, and the normal random effects at once.