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 for robust, evidence-based decisions in vaccine trials. It emphasises hands-on application for real-world confidence in results.
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 from experts, update Bayesian models, summarise posteriors, conduct robustness checks, sidestep pitfalls, and convey uncertainty effectively to decision-makers in 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: implement prior sensitivity, 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.What our students say
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an online course and how does it work?
PDF Course