EPIB 710 — Advanced Methods: Causal Inference

Causal inference using potential outcomes has become a standard part of the toolkit for epidemiologic researchers. In this course students will review foundational material on potential outcomes, and then understand and implement advanced methods. The class will emphasize both conceptual understanding and implementation, including analyses of complex datasets. Time-fixed and time-varying exposures will be considered. Methods studied will vary but will include marginal structural models, structural nested models, and targeted maximum likelihood.

• Credits: 3
• Faculty: Graduate Studies
• Department: Epidemiology and Biostatistics
• Taught by: Jay Kaufman
• Prerequisite(s): EPIB 705 or equivalent, or permission of instructor.

Sections offered

• Section 001 (Lec), Mon Wed 10:05-11:25 am — 3 seats open