Bayesian Training
Bayesian Training equips statisticians with skills to construct priors, calculate posteriors, interpret vaccine efficacy using credible intervals, perform robustness checks, and produce clear visual summaries for assured data-driven decisions in vaccine trials. It emphasises hands-on application for reliable real-world outcomes.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course provides a practical guide to Bayesian analysis of vaccine trial data. Learners will define binomial models, create trial scenarios, develop priors for vaccine efficacy from expert input, perform Bayesian updates, summarise posteriors, conduct robustness checks, sidestep pitfalls, and convey uncertainty effectively to decision-makers 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 means, credible intervals, and Pr(VE>50%).
- Robustness checks: implement prior sensitivity analysis, sceptical priors, and prior predictive checks.
- Communication: present Bayesian VE findings 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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