Bayesian Training
Bayesian Training shows statisticians how to build priors, compute posteriors, and interpret vaccine efficacy with credible intervals, robustness checks, and clear visual summaries for confident, data-driven decisions.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Bayesian Training gives you a focused, hands-on guide to analyzing vaccine trial data with confidence. You will define binomial models, build realistic trial scenarios, construct expert-informed priors for vaccine efficacy, and perform Bayesian updating. Learn to summarize posteriors, design robustness checks, avoid common pitfalls, and clearly communicate uncertainty to decision makers in real-world studies.
Elevify advantages
Develop skills
- Bayesian VE modeling: build and analyze binomial vaccine efficacy models fast.
- Prior elicitation: turn expert VE beliefs into practical Beta priors that work.
- Posterior analysis: compute VE means, credible intervals, and Pr(VE>50%).
- Robustness checks: run prior sensitivity, skeptical priors, and prior predictive.
- Communication: explain Bayesian VE results clearly to technical stakeholders.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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