Michael L. Pennell

Bayesian variable selection for joint models of heterogeneous longitudinal variables and a binary outcome

Biomedical studies often collect mixed-type longitudinal data (e.g., clinical, lifestyle) to identify predictors of a binary health outcome. A common analytical challenge is to link these irregularly collected variables to the outcome, particularly when the number of potential predictors is large. While joint models (J...