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EPIB 683 Intermediate Bayesian Analysis in Health Sciences (2 credits)

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

Administered by: Graduate Studies

Overview

Epidemiology & Biostatistics : Bayesian design and analysis with applications specifically geared towards epidemiological research. Topics may include multi-leveled hierarchical models, diagnostic tests, Bayesian sample size methods, issues in clinical trials, measurement error and missing data problems. Programming in R and WinBUGS.

Terms: This course is not scheduled for the 2023-2024 academic year.

Instructors: There are no professors associated with this course for the 2023-2024 academic year.

  • Prerequisite(s): EPIB 682 or permission of the instructor.

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