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BAYES: Bayesian Methods for Biomedical Research
BAYES: Bayesian Methods for Biomedical Research
  • Syllabus
  • Schedule
  • Lectures
  • Practicals
  • Quizzes
  • Readings
Overview
  • Slides and lecture notes (and videos)
Course content
  • Foreword
  • Motivation examples
Part I: Bayesian theory
  • Introduction to Bayesian statistics
  • Bayesian modeling
  • Bayesian inference
  • Conclusion
Part II: Bayesian computations
  • Estimating the posterior distribution is (often) costly
  • Direct sampling
  • MCMC algorithms
  • MCMC in practice
Part III: Bayesian applications in biomedical sciences
  • Post-mortem re-analysis of a clinical trial
  • Bayesian meta-analysis
  • CRM dose-escalation

Introduction to Bayesian statistics

  • Video lecture
    • Introduction part 1
    • Introduction part 2
  • Slides

Video lecture

Introduction part 1

👉 Seeing Theory, Brown University

Introduction part 2

Slides

The slides for the first part of this section are displayed below, and can be downloaded here.

The slides for the second part of this section are displayed below, and can be downloaded here.

Last updated on June 16, 2025

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BAYES: Bayesian Methods for Biomedical Research
Université de Bordeaux    ISPED summer school

Boris Hejblum    boris.hejblum@u-bordeaux.fr

9:15am—12:15pm & 1:30pm—4:30pm
Salle XX, Batiment XX

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

Content 2025 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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