Longitudinal studies follow individuals over time and repeatedly measure health status. This module will provide an overview of statistical methods for the analysis of longitudinal data, with a focus on regression-based methods such as generalized linear mixed-effects models and generalized estimating equations. Relevant theoretical background will be provided. Examples from randomized controlled trials and observational studies will be used to illustrate key approaches, modeling strategies, and interpretation of results. Illustrative examples will be presented with R and STATA.
This course is targeted toward individuals with little or no prior exposure to statistical methods for longitudinal data analysis.