Bayesian Training
Bayesian Training equips statisticians with skills to construct priors, calculate posteriors, and interpret vaccine efficacy using credible intervals, robustness checks, and clear visual summaries, enabling confident data-driven decisions in vaccine trials.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
Bayesian Training provides a focused, hands-on guide to analyzing vaccine trial data confidently. Define binomial models, create realistic trial scenarios, build expert-informed priors for vaccine efficacy, and conduct Bayesian updating. Summarize posteriors, design robustness checks, avoid pitfalls, and communicate uncertainty effectively 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 workload.What our students say
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