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Subject:
Emisor:
AES ECONSALUD <[log in para visualizar]>
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Economía de la Salud <[log in para visualizar]>
Fecha:
Wed, 31 Oct 2018 18:22:32 +0100
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COURSE ORGANISERS: Gianluca Baio, Chris Jackson, Howard Thom, Mark Strong, Anna Heath

OVERVIEW:
This summer school is intended to provide an introduction to Bayesian analysis and 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 present a range of modelling strategies for cost-effectiveness analysis as well as recent methodological developments for the analysis of the value of information.

The course 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, although 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.

The summer school is hosted in the beautiful complex of the Centro Studi Cisl, overlooking and a short distance from Florence (Italy). The registration fees include full board accommodation in the Centro Studi. There are 15 places, which will be allocated on a first-come-first-served basis.

More information can be found at the summer school webpage. Registration is available from the UCL Store. For more details or enquiries, email Professor Gianluca Baio.

More information: https://onlinestore.ucl.ac.uk/conferences-and-events/faculty-of-mathematical-physical-sciences-c06/department-of-statistical-science-f61/f61-bayesian-methods-in-health-economics-2019

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