Module date/time: Tuesday, July 24, 8:30 a.m.-5 p.m.
This course is targeted toward individuals who take Module 2: Introduction to Longitudinal Data Analysis or have background knowledge of longitudinal data analysis methods.
Longitudinal studies follow individuals over time and repeatedly measure health status. This module will focus on the practical application of statistical methods to the analysis of longitudinal data.
A series of case studies will be used to discuss analysis strategies, the application of appropriate analysis methods, and the interpretation of results. Case studies will arise from randomized controlled trials and observational studies.
Software implementation will be primarily in R and STATA; attendees should bring a laptop with relevant software installed.