BSTA 519 Longitudinal Data Analysis
INSTRUCTOR: ROCHELLE FU, PHD
Course Description: This course is a required course for students in the Master programs and Graduate Certificate program in Biostatistics and could also be used as an elective course for students in the Epidemiology track or Biostatistics track in the Oregon MPH program and other programs. This course is designed for students who have taken the basic applied statistical courses and wish to learn the more advanced statistical methods for longitudinal data. Longitudinal data consist of measurements of predictor and response variables at two or more points in time for many individuals. This course covers the statistical properties of longitudinal data and special challenges due to the repeated measurements on each individual, exploratory methods and statistical models for longitudinal data. For statistical methods, the course will briefly cover the more traditional repeated measure analysis of variance (ANOVA) approach for continuous data, and focus more on mixed model approach and estimation based on generalized estimating equation. Real life examples from either instructors' experience and/or the health sciences literature will be used to explain the concept and application of these models by using continuous, binary and count data. Homework assignments and final class project play a central role to understand and appropriately apply the methods covered in the course.
Term Offered Winter
Prerequisite BSTA 511 Estimation and Hypothesis Testing for Applied Biostatistics (or equivalent), BSTA 512 Linear Models (or equivalent), and BSTA 513 Categorical Data Analysis (or equivalent), or permission of the instructor