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 research and beyond. The programme 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. Participants 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: construct and evaluate binomial vaccine efficacy models efficiently.
- Prior elicitation: convert expert opinions on VE into effective Beta priors.
- Posterior analysis: determine VE means, credible intervals, and Pr(VE>50%).
- Robustness checks: perform 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 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