Statistics

ST732 - Applied Longitudianal Data Analysis

• Prerequisites: ST512, Experimental Statistics for Biological Sciences II, or equivalent. Students are expected to have had some exposure to the use of SAS. Familiarity with matrix algebra is advantageous.
• Term & Frequency: Every Spring
• Student Audience: PhD students in Statistics and related fields
• Credit: 3 credits
• Recent Texts: Lecture notes prepared by Marie Davidian
• Recent Instructors: Marie Davidian, Dennis Boos, Wenbin Lu
• Background and Goals: The course is meant to be accessible both to non-majors and majors. The underlying mathematical theory will not be stressed, and the main focus will be on concepts and applications.
• Content: The topics covered include classical methods for normally distributed repeated measurements, methods for non-normally distributed unbalanced data, generalized estimating equations, generalized linear mixed effects models.
• Alternatives: None
• Subsequent Courses: None

SP 2013 Sections: