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Bayesian methods in biomedical research

Bayesian methods in biomedical research

Syllabus
Schedule
Lectures
Practicals
Quizzes
Readings
Prerequisites

Overview

R & JAGS practicals

Practicals

Exercise 1: Eliciting an expert prior
Exercise 2: Monte-Carlo
PoS exercises
Exercise 3: Inverse transform sampling
Exercise 4: Metropolis-Hastings algorithm(s) for the historical application (Beta-Bernoulli model)
Exercise 5: Introduction to BUGS & JAGS
Exercise 6: Post-mortem analysis of an under-powered randomized trial
Exercise 7: Bayesian meta-analysis
Exercise 8: Bayesian regression

Bonus

Exercise 9: how NOT to report a CRM trial

R & JAGS practicals

Presentation

This page contains the practicals that illustrate the theoretical concepts from the lectures.

Last updated on June 2, 2024

3333-24-00-00: Bayesian methods in biomedical research
University of Copenhagen Department of Public Health

Boris Hejblum & Corine Baayen boris.hejblum@u-bordeaux.fr

8am-3pm
CSS Room 7-0-40

All content licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Content 2024 Boris Hejblum

This site was created with the Academic theme in blogdown and Hugo, and adapted from Andrew Heiss Data visualization class website.

View the source at GitHub.

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