EPIDEM 2189 - EPIDEMIOLOGICAL METHODS OF LONGITUDINAL & TIME-TO-EVENT ANALYSES

Minimum Credits: 3
Maximum Credits: 3
This course will introduce the students to advanced regression methods used to address research questions involving longitudinally collected data from an epidemiological perspective. It serves as the second epidemiological methods course in the Department of Epidemiology following EPIDEM 2180. The course content includes an introduction to standard analytical methods of longitudinal data and time-to-event outcomes as well as missing data in this study setting. Sample size and power calculations involved when using these methods will be presented. Causal inference framework within the longitudinal study setting will be briefly introduced late in the course. SAS, a statistical software package, will be used in all presented examples and class notes. This course will not cover statistical theories of longitudinal data and survival analyses. It is an applied course of those two methodological approaches.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Course Requirements: PREQ: EPIDEM 2180 and (BIOST 2049 or 2142); PLANS: EPIDEM-DPH; EPIDEM-PHD; EPIDEM-MPH; EPIDEM-MS

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