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APSTA-GE 2042

Multi-Level Modeling: Nested Data/Longitudinal Data

New York University 3 credits Applied Statistics

Course 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.

Code
APSTA-GE 2042
Credits
3
Subject
Applied Statistics

Programs That Include This Course

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