Analysis of Correlated Data

Course Number
5200 (Biostatistics)
Course Instructor(s)
Michael Escobar

Course Description

The course introduces statistical methods to analyze correlated data commonly arising from applied outcome research and health sciences. The course focuses on the analysis of longitudinal and repeated measure data with the emphasis on the applications and the interpretation of the analytic results. Examples are extensively used to illustrate concepts and implemented using the software R. Students who are interested in the course can review the article Statistical Approaches to Longitudinal Data Analysis in  Neurodegenerative Diseases: Huntington’s Disease as a Model to have a more granular overview of the course materials.

Methods of Assessment

Mid-term test 40%
Final exam 60%

Pre/Co-Requisite Courses