Longitudinal Data Analysis

3 credits · Graduate

This course is concerned with statistical techniques for analysis of longitudinal data, data that are collected repeatedly over a time on a number of subjects. Topics include generalized estimating equations; fixed, random and mixed effects linear models; generalized linear models; diagnostics and model checking; as well as missing data issues. PREREQUISITES: STAT 4620/5620 OR permission of instructor FORMATS: Lecture