The event is a training school, part of the HARMONY COST Action 18208 training activities, with introductory didactic teaching and hands-on practical sessions on Bayesian methods for true prevalence estimation & diagnostic test evaluation.
The following core topics will be covered:
- Running basic models in JAGS
- Apparent & true prevalence estimation
- How to choose a prior distribution?
- Diagnostic test evaluation with Hui-Walter models
Pre-course preparation work will also be provided as a prerequisite for attending the course.
Prior experience of Bayesian statistics or latent class methods is not expected, but basic statistical knowledge and R programming skills are expected. Participants will have to bring their own-laptops.
The primary learning objective of the school is that participants understand how to implement these methods on their own data, both in terms of the practice of Markov chain Monte Carlo (MCMC) and how to interpret the results.
Registration details
Where to Register: https://forms.gle/BQXDizoCL3XtzirJ9
Deadline for registration: Friday 12 April 2024
The training school is organized under funding from COST Association and financial support is provided according to COST rules.
Selected participants will receive an official invitation from e-COST.
You can find more details on the training school in the attached agenda.
For further details of the program and information about financial support please contact Eleftherios Meletis (emeletis@outlook.com).
