Bayesian Training
Bayesian Training equips statisticians with skills to construct priors, calculate posteriors, and evaluate vaccine efficacy through credible intervals, robustness assessments, and clear visual aids, enabling assured data-informed choices in vaccine studies. This hands-on course ensures participants master these techniques for reliable real-world applications, enhancing decision-making processes.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Bayesian Training offers a practical guide to analysing vaccine trial data using Bayesian methods. Learners will set up binomial models, create trial scenarios, develop priors from expert input on vaccine efficacy, and carry out Bayesian updates. The course covers summarising posterior distributions, conducting robustness checks, steering clear of frequent errors, and presenting 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: convey 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 workloadWhat our students say
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