Multi-Level Modeling: Nested Data/Longitudinal Data

Catalog description

This course teaches models for multilevel nested data that arise in nested designs. Traditional methods, such as OLS regression, are not appropriate in this setting as they fail to model the complex correlational structure that is induced by these designs. This class explores how to develop and fit a set of models for nested designs through multilevel regression, also known as mixed effects models or hierarchical linear models.