Najera-ZuloagaJLeeD-JArosteguiI. Comparison of beta-binomial regression model approaches to analyze health-related quality of life data. Stat Method Med Res2017; 27: 2989–3009.
2.
NeuhausJMKalbfleishJDHauckWW. A comparison of cluster-specific and population-averaged approaches for analyzing correlated binary data. Int Stat Rev1991; 59: 5–35.
3.
LeeYNelderJA. Conditional and marginal models: another view. Stat Sci2004; 19: 219–238.
4.
DigglePLiangK-YZegerSL. Longitudinal data analysis, New York: Oxford University Press, 1994.
5.
LeeYNelderJA. Hierarchical generalized linear models. J R Statist Soc B1996; 58: 619–678.
6.
GeorgeKIddiSMolenberghsG. The combined model: a tool for simulating correlated counts with overdispersion. Commun Stat-Simul C2016; 45: 2491–2510.
7.
MolenberghsGVerbekeGIddiSet al.A combined beta and normal random-effects model for repeated, overdispersed binary and binomial data. J Multivariate Anal2012; 111: 94–109.
8.
SennSJ. Conditional and marginal models: another view – comment. Stat Sci2004; 19: 228–230.