Bayesian Training
Bayesian Training equips statisticians with skills to construct priors, calculate posteriors, and evaluate vaccine efficacy using credible intervals, robustness checks, and clear visuals for solid, evidence-based choices in vaccine studies. Participants gain hands-on experience in modelling, prior setting, analysis, and reporting to boost decision-making confidence.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course offers a practical guide to Bayesian analysis of vaccine trial data. Learners will set up binomial models, create trial scenarios, develop priors from expert input on vaccine efficacy, and conduct Bayesian updates. It covers summarising posteriors, robustness testing, avoiding errors, and conveying uncertainty effectively to stakeholders in actual studies.
Elevify advantages
Develop skills
- Bayesian VE modelling: quickly build and analyse 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 present 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 workloadWhat our students say
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