Methods for The Analysis of Longitudinal Data

(4 Credits)

This course covers statistical methods for analyzing longitudinal data, which mainly are collected in the form of repeated measurements over time. Topics include the linear model for longitudinal continuous data (e.g., multivariate normal model and mixed-effects models) and methods for analyzing longitudinal categorical data in the form of counts and binary data (e.g., generalized linear model and generalized estimating equations). Dropouts, missing mechanisms, and semiparametric methods are also discussed, with emphasis on newly proposed methods in the literature.