2023-2024 Graduate Catalog

MATH 656 Introduction to Linear Mixed Models

The course covers Linear Mixed Models (LMMs) that are used to analyze data collected over time (longitudinal data) or over various levels (multi-level data). LMMs are special-purpose regression models to address a prediction problem or an inference problem based on such data. Statistical computational programs R and SAS will be applied to demonstrate applications of these methods in the form of case studies.

Prerequisite: MATH 620 or DSCI 602 or permission of the department chairperson.

Credits

3