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EPIB 682 Introduction to Bayesian Analysis in Health Sciences (2 credits)

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Note: This is the 2019鈥�2020 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 : Introduction to practical Bayesian methods. Topics will include Bayesian philosophy, simple Bayesian models including linear and logistic regression, hierarchical models, and numerical techniques, including an introduction to the Gibbs sampler. Programming in R and WinBUGS.

Terms: This course is not scheduled for the 2019-2020 academic year.

Instructors: There are no professors associated with this course for the 2019-2020 academic year.

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