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 solid data-driven choices in vaccine trials.

flexible workload from 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 define binomial models, create trial scenarios, develop priors for vaccine efficacy from experts, update Bayesian models, summarise posteriors, check robustness, dodge pitfalls, and share uncertainty with decision-makers in studies.
Elevify advantages
Develop skills
- Bayesian VE modelling: quickly build and analyse binomial vaccine efficacy models.
- Prior elicitation: convert expert views on VE 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: clearly present Bayesian VE findings to technical audiences.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course