Instructors: Gianluca Baio (UCL), Anna Heath (UCL), Chris Jackson (MRC Biostatistics Unit), Mark Strong (Sheffield) & Nicky Welton (Bristol)
This residential 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 including Value of Information calculations. As such, it 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.
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. Lectures and practicals are based on Bayesian Methods in Health Economics (BMHE), The BUGS Book (BB) and Evidence Synthesis for Decision Making in Healthcare (ESDM), which will all be provided as part of the course material (ie included in the registration fee).
The summer school is hosted in the beautiful complex of the Centro Studi Cisl (check it out here), overlooking and a short distance from Florence. The registration fees include full board accommodation in the Centro Studi. There are 10 single rooms and 10 double rooms available, which will be allocated on a first-come-first-served basis. Participants can request to share a double rooms when registering.
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