Short course: Bayesian methods in health economics

July 2, 2014

(This article was first published on Gianluca Baio's blog, and kindly contributed to R-bloggers)

Chris, Richard and I tested this last March in Canada (see also here) and things seem to have gone quite well. So we have decided to replicate the experiment (so that we can get a bigger sample size!) and do the short course this coming November (3-5th), at UCL.

Full details (including links for registration) are available here. As we formally say in an advert we’ve circulated on a couple of relevant mailing lists: 

“This course 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.

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 timetable and additional info are here.

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