*Summer school: Bayesian methods in health economics*
Date: 4-8 June 2018
Venue: CISL Study Center <http://www.centrostudi.cisl.it/english.html>,
Florence (Italy)
*COURSE ORGANISERS*: Gianluca Baio, Chris Jackson, Nicky Welton, 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 <http://www.centrostudi.cisl.it/tour-virtuale.html>, overlooking and a
short distance from Florence (Italy). The registration fees include *full
board accommodation* in the Centro Studi. *There are still a few places
available!*
More information can be found at the summer school webpage
<http://www.statistica.it/gianluca/bayes-hecourse>. Registration is
available from the UCL Store
<http://onlinestore.ucl.ac.uk/conferences-and-events/faculty-of-mathematical-physical-sciences-c06/department-of-statistical-science-f61/f61-bayesian-methods-in-health-economics-040618>.
For more details or enquiries, email Dr Gianluca Baio <[log in to unmask]>.
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