Furthermore, the generalized linear mixed model (GLMM) is proposed to derive the risk relativities of clusters and each FSA.

We propose a copula-based generalized linear mixed model (GLMM) to jointly analyze multivariate longitudinal data with mixed types, including continuous, count and binary responses.

Exploration of the intractable posterior distributions associated with Bayesian versions of the general linear mixed model is often performed using Markov chain Monte Carlo. In particular, if a ...

Other secondary outcomes were analyzed with the use of a log-binomial generalized linear mixed model and reported as risk ratios. The lowest daily hemoglobin levels are presented as means.