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Bayesian Training

Bayesian Training
flexible workload of 4 to 360h
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 based on expert input for vaccine efficacy, and conduct Bayesian updates. It covers summarising posterior distributions, performing robustness tests, steering clear of frequent errors, and effectively sharing uncertainty with 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: conduct prior sensitivity analysis, sceptical priors, and prior predictive checks.
  • Communication: present Bayesian VE findings effectively 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.
Workload: between 4 and 360 hours

What our students say

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

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