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EPIB 710 Advanced Methods: Causal Inference (3 credits)

Note: This is the 2020鈥�2021 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .

Offered by: Epidemiology and Biostatistics (Faculty of Medicine and Health Sciences)

Administered by: Graduate Studies

Overview

Epidemiology & Biostatistics : 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.

Terms: This course is not scheduled for the 2020-2021 academic year.

Instructors: There are no professors associated with this course for the 2020-2021 academic year.

  • Prerequisite(s): EPIB 705 or equivalent, or permission of instructor.

  • Restriction(s): Restricted to Ph.D. students in the Department of Epidemiology, Biostatistics, and Occupational Health.

  • Not open to students who have taken EPIB 610.

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