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: Ana-Maria Staicu, 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 2015 Sections:
|001||Staicu,Ana-Mari||01216 SAS Hall||01:30PM-02:45PM||MW||21/40 - Open|