Bayesian Training
Bayesian Training equips statisticians with skills to construct priors, calculate posteriors, and evaluate vaccine efficacy using credible intervals, robustness tests, and visual aids for assured, evidence-based decisions in clinical trials. It covers modelling, prior elicitation, posterior summaries, sensitivity analyses, and stakeholder communication.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course provides a practical guide to Bayesian analysis of vaccine trial data. Participants will define binomial models, create trial scenarios, develop expert priors for vaccine efficacy, perform Bayesian updates, summarise posteriors, conduct robustness checks, sidestep pitfalls, and communicate uncertainty effectively to decision-makers in real studies.
Elevify advantages
Develop skills
- Bayesian VE modelling: rapidly construct and evaluate binomial vaccine efficacy models.
- Prior elicitation: convert expert opinions on VE into effective Beta priors.
- Posterior analysis: determine VE means, credible intervals, and Pr(VE>50%).
- Robustness checks: perform prior sensitivity, sceptical priors, and prior predictive checks.
- Communication: clearly convey Bayesian VE findings 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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