The beta-binomial model mixes binomials over a beta-distributed success probability. The random-intercept generalized linear mixed model instead takesBoth create within-user dependence and overdispersion, but use different mixing distributions. The mixed-model coefficients are conditional on the random effect, while beta-binomial regression is naturally phrased through a marginal mean.
Articles by others on the same topic
There are currently no matching articles.