STAT 8235: Advanced Longitudinal Data Analysis

3 Credit Hours
Prerequisite: STAT 8250 or Permission of Program Director
This course focuses on classical and modern approaches to analyze continuous and discrete longitudinal data. Topics include: exploratory analysis of correlated data, multilevel models, likelihood derivations for random effects models, algorithms of multi-level model fitting and estimation with missing data. The class is intended for doctoral students who have completed some statistical courses covering topics including linear regression, and generalized linear models. Students learn to build the models with software, derive the likelihood for the mixed effects model, estimate the model parameters. They apply longitudinal analysis approach to develop a final project report with a real-world example data.

Note: This course may be cross-leveled with STAT 7235