Marginalized random effects models for multivariate longitudinal binary data.

Abstract

Generalized linear models with random effects are often used to explain the serial dependence of longitudinal categorical data. Marginalized random effects models (MREMs) permit likelihood-based estimations of marginal mean parameters and also explain the serial dependence of longitudinal data. In this paper, we extend the MREM to accommodate multivariate… (More)
DOI: 10.1002/sim.3534

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