A linear mixed model for predicting a binary event from longitudinal data under random effects misspecification
A linear mixed model for predicting a binary event from longitudinal data under random effects misspecification
The use of longitudinal data for predicting a subsequent binary event is often the focus of diagnostic studies. This is particularly important in obstetrics, where ultrasound measurements taken during fetal development may be useful for predicting various poor pregnancy outcomes. We propose a modeling framework for predicting a binary event …