Bayesian Training
Bayesian Vaccine Efficacy Training equips statisticians with skills to construct priors, calculate posteriors, and evaluate vaccine efficacy using credible intervals, robustness assessments, and clear visual aids for solid, evidence-based choices in public health.
from 4 to 360h flexible workload
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 from expert input on vaccine efficacy, and conduct Bayesian updates. It covers summarising posterior distributions, robustness testing, sidestepping frequent errors, and conveying uncertainty effectively to 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: 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 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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