Bayesian Training
Bayesian Training equips statisticians with skills to construct priors, calculate posteriors, and evaluate vaccine efficacy using credible intervals, robustness checks, and visual summaries. This enables confident, evidence-based decisions in vaccine trials, enhancing analysis precision and stakeholder communication in practical settings.
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 define binomial models, create trial scenarios, develop priors from expert input on vaccine efficacy, and conduct Bayesian updates. It covers summarizing posteriors, robustness testing, avoiding pitfalls, and communicating uncertainty effectively to stakeholders in real studies.
Elevify advantages
Develop skills
- Bayesian VE modeling: 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, skeptical 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
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I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
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