Joint modeling methods have become popular tools to link important features extracted from longitudinal data to a primary event. While most modeling strategies have focused on the association between the longitudinal mean trajectories and risk of an event, we consider joint models that incorporate information from both long-term trends and short-term variability in a longitudinal… Continue reading Joint modeling of cross-sectional health outcomes and longitudinal predictors via mixtures of means and variances