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-based decisions in vaccine trials and beyond.

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 simulations, develop priors based on expert input for vaccine efficacy, and conduct Bayesian updates. It covers summarising posterior distributions, performing robustness tests, steering clear of frequent errors, and effectively sharing uncertainty with stakeholders in actual studies.
Elevify advantages
Develop skills
- Bayesian VE modelling: quickly 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: conduct prior sensitivity analysis, sceptical priors, and prior predictive checks.
- Communication: present Bayesian VE findings effectively 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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