Risk estimation and dynamic prediction using discrete-time joint models for longitudinal and multistate data with interval and state censoring
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This paper presents a joint model of multivariate longitudinal data and multistate data with application to modeling and predicting autoantibody development in The Environmental Determinants of Diabetes in the Young (TEDDY) study. The model quantifies the risk... ...
