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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 set up binomial models, create trial scenarios, develop priors from expert input on vaccine efficacy, and conduct Bayesian updates. It covers summarising posteriors, robustness testing, avoiding errors, and communicating uncertainty effectively to stakeholders in actual studies.

Elevify advantages

Develop skills

  • Bayesian VE modelling: quickly build and analyse 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, sceptical priors, and prior predictive checks.
  • Communication: clearly present Bayesian VE findings 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

I was just promoted to Intelligence Advisor for the Prison System, and the course from Elevify was crucial for me to be chosen.
EmersonPolice Investigator
The course was essential to meet my boss's and the company's expectations.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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