Bayesian Training
Bayesian Training equips statisticians with skills to construct priors, calculate posteriors, interpret vaccine efficacy using credible intervals, perform robustness checks, and deliver clear visual summaries, enabling confident data-driven decisions in vaccine trials and beyond.
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. Learners will define binomial models, create trial scenarios, develop priors for vaccine efficacy, update Bayesian models, summarize posteriors, conduct robustness checks, avoid pitfalls, and communicate uncertainty effectively to stakeholders in real studies.
Elevify advantages
Develop skills
- Bayesian VE modeling: build and analyze binomial vaccine efficacy models quickly.
- Prior elicitation: convert expert opinions on vaccine efficacy into effective Beta priors.
- Posterior analysis: calculate vaccine efficacy means, credible intervals, and probabilities like Pr(VE>50%).
- Robustness checks: perform prior sensitivity analysis, skeptical priors, and prior predictive checks.
- Communication: clearly convey Bayesian vaccine efficacy results 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.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 change platforms... I thank you for everything you do, I've already recommended you to other people...
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 FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André FelipePrompt Engineering Student
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