Joint modeling of covariates and censoring process assuming non-constant dropout hazard

Abstract

In this manuscript we propose a novel approach for the analysis of longitudinal data that have informative dropout. We jointly model the slopes of covariates of interest and the censoring process for which we assume a survival model with logistic non-constant dropout hazard in a likelihood function that is integrated over the random effects. Maximization of… (More)
DOI: 10.1007/s10260-015-0302-2

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