Bayesian Training
This Bayesian Training equips statisticians to construct priors, calculate posteriors, and evaluate vaccine efficacy using credible intervals, robustness checks, and clear visual aids, enabling assured, evidence-based decisions in vaccine studies. Participants master binomial models, expert-informed priors, posterior summaries, sensitivity analyses, and effective communication of uncertainty to stakeholders.
4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Bayesian Training delivers a practical guide to analysing vaccine trial data confidently. Learners define binomial models, create realistic trial scenarios, develop expert priors for vaccine efficacy, execute Bayesian updates, summarise posteriors, implement robustness checks, sidestep pitfalls, and convey uncertainty effectively to decision-makers in practical studies.
Elevify advantages
Develop skills
- Bayesian VE modelling: build and analyse binomial vaccine efficacy models swiftly.
- Prior elicitation: convert expert VE opinions into effective Beta priors.
- Posterior analysis: calculate VE means, credible intervals, and Pr(VE>50%).
- Robustness checks: conduct prior sensitivity, 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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