| Start | End | Topic |
|---|---|---|
| 9:00 | 10:45 | Lecture 1: Introduction to health economic evaluation |
| 10:45 | 11:15 | Coffee break |
| 11:15 | 13:00 | Lecture 2/Practical 1: Bayesian computation |
| 13:00 | 14:30 | Lunch |
| 14:30 | 16:00 | Lecture 3: Individual level data in health economic evaluation |
| 16:00 | 16:30 | Ortxata break |
| 16:30 | 18:00 | Practical 2: ILD |
Short Course: Bayesian modelling for economic evaluation of healthcare interventions.
Aims, objectives and intended audience
When a new healthcare intervention (often, but not necessarily, a drug) is approved on the market, in a given jurisdiction, it typically has to go through another stage of negotiation to get “reimbursement”. This means that the intervention is considered “good value-for-money” and so the healthcare provider decides to make it available for the reference population.
This is typically the situation in many countries, including many in Europe. This process is based on structured modelling, typically complementing different sources of evidence and aimed at demonstrating the “cost-effectiveness” of a given intervention. Bayesian modelling is instrumental to this type of problems and in this short course we will review the basics of economic evaluation, with a specific reference to the use of Bayesian models for individual level data (e.g. directly coming from experimental studies), as well as for generalised evidence synthesis. The models will be complemented with practical material.”
Details
The short course is part of the València International Bayesian Analysis Summer School, 7th edition.
Timetable
The following is the daily scheduled for the short course. Click on the link to see the lecture slides.
Practicals
The material for the practicals is available in this GitHub repository: https://github.com/giabaio/vibass. You can download all the files with the R and JAGS code from the folder practical. You can also launch the Binder container, which you can use to run the practicals — this is effectively a virtual machine, with a live instance of Rstudio and all the relevant files and packages already installed.
Binder container
You can directly launch the Binder container from here