Bayesian Training
Bayesian Training equips statisticians with skills to construct priors, calculate posteriors, and evaluate vaccine efficacy using credible intervals, robustness assessments, and clear visual aids, enabling assured data-informed choices in vaccine trials. The programme emphasises hands-on application for reliable real-world outcomes.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This course provides a practical guide to Bayesian analysis of vaccine trial data. Learners will set up binomial models, create trial simulations, develop priors based on expert input for vaccine efficacy, and conduct Bayesian updates. It covers summarising posterior distributions, implementing robustness tests, steering clear of frequent errors, and effectively conveying uncertainty to stakeholders in actual 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 averages, credible intervals, and Pr(VE>50%).
- Robustness checks: perform prior sensitivity analysis, sceptical priors, and prior predictive checks.
- Communication: present Bayesian VE findings accessibly 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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