# Summer school: Bayesian methods in health economics

## Aims, objectives and intended audience

This summer school aims at providing an introduction to Bayesian analysis and Markov Chain Monte Carlo (MCMC) methods using `R`

and MCMC sampling software (such as OpenBUGS and JAGS), as applied to cost-effectiveness analysis and typical models used in health economic evaluations.

We will also focus on more recent methods for Probabilistic Sensitivity Analysis and research prioritisation, including Value of Information calculations.

The summer school is intended for health economists, statisticians, and decision modellers interested in the practice of Bayesian modelling and will be based on a mixture of lectures and computer practicals. The emphasis will be on examples of applied analysis: software and code to carry out the analyses will be provided and presented/discussed in details.

The summer school essentially is made of two halves — the first main topic is Bayesian modelling; the second is its application to health-economic evaluation. These two will be intertwined throughout — we will switch back and forth to the description of the methods and their application to data on cost-effectiveness of (mainly, but not exclusively) pharmaceutical interventions.

In any case, the main learning objective of this summer school is for you to be able to ** perform** a Bayesian analysis (specifically on health care data and with the objective of a full economic evaluation). We will be formal in the exposition of the technical concepts, while not fixating with proofs and theorems (but rather trying to provide the rationale and the intuition behind the use of the various methods).

## Details

### Faculty

The summer school is taught by Gianluca Baio, Anna Heath, Howard Thom and Nathan Green.

### Daily schedule

The following is the daily scheduled for the last edition (2022), which was hosted in the main campus at the University of Lausanne — topics and lecturers may *slightly* vary, but by and large the list of topics and the setup of the summer school will remain very close to this. Click on the banners below to expand the full schedule for each day.

## Next edition — Florence, 24-28 July 2023

The next edition of the summer school will be held on **24-28 July 2023** at the Centro Studi CISL, Via della Piazzuola, 71 — 50133 Florence. The registration fee includes accommodation for the duration of the course (from **Sunday night to Thursday night included**), but specific arrangements for extra days could be made directly with the Centro Studi, pending room availabilities.

### Travelling to Florence

Florence is served by the Amerigo Vespucci international airport, but the most convenient way to fly to Tuscany is probably through Pisa’s Galileo Galilei international airport — there are some low cost airlines flying there and the airport is a bit bigger. There is a train connection from Pisa Airport to Pisa Centrale and then to Firenze Santa Maria Novella. There are also coaches going directly to Florence from Pisa airport – some options here. Train tickets can be booked and bought at the Trenitalia website. If you arrive to Florence Airport, the taxi ride to the Centro Studi is about 20 minutes and cost about €20. There is also a recently opened tram connection from Florence airport to Santa Maria Novella train station.

Another relatively convenient airport is Bologna (which is just half an hour away on the fast, but more expensive train, called “Frecciarossa”, still available to book from Trenitalia. There’s a bus connection from Bologna airport to the main train station and then lots of connections from Bologna Centrale to Firenze Santa Maria Novella). Rome is also not too far away. There are two main train companies in Italy: Trenitalia is state-run while Italo is a private company. Only Trenitalia serves Florence from Pisa, while it is possible to travel to Florence from other cities with both.