Overdispersion models for correlated multinomial data: Applications to blinding assessment.
Landsman V, Landsman D, Li C S, +1 more·Statistics in medicine
Overdispersion models have been extensively studied for correlated normal and binomial data but much less so for correlated multinomial data. In this work, we describe a multinomial overdispersion model that leads to the specification of the first two moments of the outcome and allows the estimation of the global param…