Modelling multivariate, overdispersed binomial data with additive and multiplicative random effects
Modelling multivariate, overdispersed binomial data with additive and multiplicative random effects
When modelling multivariate binomial data, it often occurs that it is necessary to take into consideration both clustering and overdispersion, the former arising from the dependence between data, and the latter due to the additional variability in the data not prescribed by the distribution. If interest lies in accommodating both …