| Start | End | Topic |
|---|---|---|
| 10:00 | 11:00 | Lecture 1: Bayesian reasoning |
| 11:00 | 11:15 | Coffee break |
| 11:15 | 12:15 | Lecture 2: Bayesian computation |
| 12:15 | 13:00 | Practical 1. Introduction to R and Monte Carlo simulation |
| 13:00 | 14:30 | Lunch |
| 14:30 | 15:45 | Lecture 3: Markov Chain Monte Carlo and BUGS/JAGS |
| 15:45 | 16:00 | Coffee break |
| 16:00 | 17:00 | Practical 2. MCMC analysis |
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.
Important
Participants are encouraged to bring their own laptops for the practicals. We shall assume a basic knowledge of standard methods in health economics and some familiarity with a range of probability distributions, regression analysis, Markov models and random-effects meta-analysis. However, statistical concepts are reviewed in the context of applied health economic evaluations in the lectures.
We shall also assume at least basic familiarity with R, although, once again, we shall have a specific focus on the practicals and explain in details the practice of (Bayesian) modelling for health technology assessment.
Lectures and practicals are based on the following textbooks: Bayesian Methods in Health Economics (BMHE), Bayesian Cost-Effectiveness Analysis with the R package BCEA (BCEA), The BUGS Book (BB) and Evidence Synthesis for Decision Making in Healthcare (ESDM).
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).
Important
In order to achieve this goal, much of the summer school will concentrate on practical skills, such as programming and doing data analysis in R and Bayesian software such as BUGS. Both pieces of software are publicly available and you can install them on your machine. You probably have used R in your previous work/studies. In any case, you will be given a lot of material to make up for any lack of knowledge. We expect you to go through the exercises and try to improve your computational skills throughout the summer school. As for BUGS, you probably have not seen it before — but again, you will be provided with a wealth of material and so, by the end of the week, you should be able to write, run and debug BUGS code proficiently!
Details
Faculty
The summer school is taught by Gianluca Baio, Anna Heath, Nathan Green, Howard Thom and Natalia Kunst.
Daily schedule
The following is the tentative daily scheduled for the next edition — 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 — London, 23-27 June 2025
This year, the summer school will be held at University College London (UCL), Department of Statistical Science, room 113, on the first floor of 1-19, Torrington Place, WC1E 7HB.
Travelling to London
London is of course a major hub and is served by several airports. Heathrow and Gatwick are the main ones, but there are connections also to London City, Stansted and London Southend. Most of them are fairly distant from the city centre, but all have quite good connections using Transport for London (TfL), which includes the London Underground (or, “The Tube”) as well as metropolitan rail and bus services. There are also coaches going directly to Central London from any of the airports – some options are detailed here. Train tickets can be booked and bought at Trainline.
UCL is bang in the middle of Central London, close to landmarks such as Piccadilly Circus, Oxford Street and the West End, with plenty of restaurants and amenities (not that you’ll have time to enjoy them, given the packed schedule… 😉).
The campus is within walking distance from at least three Tube stations:
- Goodge Street, on the Northern Line;
- Tottenham Court Road on the Central, Northern and Elizabeth Lines;
- Warren Street on the Victoria and Northern Lines
and very close to major railway stations (London Euston and London King’s Cross/St Pancras).
TfL has a very handy Journey Planner that can be used to… well: plan your journey from anywhere within the network.
Hotels
There are a million hotels around UCL although you may choose to stay in different areas of (Central) London and use TfL to get there. Here are some hotels nearby.
- hub by Premier Inn London Goodge Street hotel. This is pretty minimal, but literally in front of UCL.
- Radisson Blu Hotel, London Euston Square. Slightly more distant (but only 6 minutes away…).
- Four Points Express by Sheraton London Euston. If you fancy walking 15 minutes to UCL…
Off term (which the Summer School is), UCL also offers accommodation in the Student Halls. This is a website providing more information. This may be a cheaper and more cost-effective alternative.
Registration
Registration process
Registration is now open and available through UCL Online Store. The deadline for registration is set to 31 May 2025 and there are 20 places available – so hurry!