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Latent-Class Poisson-Lognormal Mixed Models for Clustering Multivariate Longitudinal Count Data
Multivariate longitudinal count data arise in biological studies, where responses may be over-dispersed, correlated within subjects and over time, measured at irregular times, and exhibit unobserved subgroup structure. Our goal was to develop a model that can accommodate over-dispersion, longitudina
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