Jul 20, 2024  
Graduate Record 2020-2021 
Graduate Record 2020-2021 [ARCHIVED RECORD]

STAT 6250 - Longitudinal Data Analysis

This course develops fundamental methodology to the analysis of longitudinal data. Topics include data structures, modeling the mean and covariance, estimation and inference with respect to the marginal models, linear mixed-effects models, and generalized linear mixed-effects models. Conceptual discussion in lectures is supplemented with hands-on practice in applied data-analysis tasks using SAS or R statistical software. Prerequisite: STAT 6120 and graduate standing in Statistics.

Credits: 3