EPIB 682. Introduction to Bayesian Analysis in Health Sciences.

Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.

PDF

EPIB 682
Introduction to Bayesian Analysis in Health Sciences.
Credits: 2
Offered by: Epidemiology and Biostatistics (Graduate Studies)
This course is not offered this catalogue year.

Description

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.
  • Prerquisite(s): EPIB 607 and EPIB 621 or permission from the instructor.

Most students use Visual Schedule Builder (VSB) to organize their schedules. VSB helps you plan class schedules, travel time, and more.

Launch Visual Schedule Builder
Back to top

What are you comfortable with?