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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 provides a practical guide to Bayesian analysis of vaccine trial data. Participants will define binomial models, create trial scenarios, develop priors for vaccine efficacy from expert input, perform Bayesian updates, summarise posteriors, conduct robustness checks, sidestep pitfalls, and convey 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: 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

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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