Bayesian Training
Bayesian Training equips statisticians to construct priors, calculate posteriors, and interpret vaccine efficacy using credible intervals, robustness checks, and clear visual summaries for assured, data-informed decisions in real-world vaccine trials.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Bayesian Training delivers a targeted, practical guide to analysing vaccine trial data confidently. Define binomial models, create realistic trial scenarios, develop expert-informed priors for vaccine efficacy, and conduct Bayesian updating. Master summarising posteriors, designing robustness checks, sidestepping pitfalls, and conveying uncertainty effectively to decision-makers in actual studies.
Elevify advantages
Develop skills
- Bayesian VE modelling: build and analyse binomial vaccine efficacy models quickly.
- Prior elicitation: convert expert VE opinions into effective Beta priors.
- Posterior analysis: calculate VE means, credible intervals, and Pr(VE>50%).
- Robustness checks: perform prior sensitivity, sceptical priors, and prior predictive checks.
- Communication: present Bayesian VE results clearly to technical audiences.
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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