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Bayesian Training

Bayesian Training
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.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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