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Bayesian methods in biomedical research

Bayesian methods in biomedical research

Syllabus
Schedule
Lectures
Practicals
Quizzes
Readings
Prerequisites

Overview

Slides and lecture notes (and videos)

Foreword
Motivation examples

Part I: Bayesian theory

Introduction to Bayesian statistics
Bayesian modeling
Bayesian inference
Conclusion

Part II: Probability of success in biomedical research

1st case study
Probability of Success and Assurance
Priors
More complex situations
Examples and case studies

Part III: Bayesian computation

Estimating the posterior distribution is (often) costly
Direct sampling
MCMC algorithms
MCMC in practice

Part IV: Bayesian applications in biomedical sciences

Post-mortem re-analysis of a clinical trial
Bayesian meta-analysis
CRM dose-escalation

Examples and case studies

Slides

Slides

The slides for this section are displayed below, and can be downloaded here.

Last updated on April 5, 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

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Content 2024 Boris Hejblum

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