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(This article was first published on <strong><a href="http://gianlubaio.blogspot.com/2018/01/501-days-of-summer-school.html"> Gianluca Baio's blog</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p><span>As I anticipated </span><a rel="nofollow" href="https://gianlubaio.blogspot.co.uk/2018/01/500-hundred-days-of-summer-school.html" target="_blank">earlier</a><span>, we’re now ready to open registration for our </span><a rel="nofollow" href="http://www.statistica.it/gianluca/bayes-hecourse" target="_blank">Summer School in Florence</a><span> (I was waiting for UCL to set up the registration system and thought it may take much longer than it actually did $-$ so well done UCL!).</span><br><span><br></span><span>We’ll probably have a few changes here and there in the timetable $-$ we’re thinking of introducing some new topics and I think I’ll certainly merge a couple of my intro lectures, to leave some time for those… </span><br><span><br></span><span>Nothing is fixed yet and we’re in the process of deliberating all the changes $-$ but I’ll post as soon as we have a clearer plan for the revised timetable.</span><br><span><br></span><span>Here’s the advert (which I’ve sent out to some relevant mailing list, also).</span></p>
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<div><b><span>Summer school: Bayesian methods in health economics</span></b></div>
<div><span>Date: 4-<span><span><span>8 June 2018</span></span></span></span></div>
<div><span>Venue: <a rel="nofollow" data-saferedirecturl="https://www.google.com/url?hl=en-GB&amp;q=http://www.centrostudi.cisl.it/english.html&amp;source=gmail&amp;ust=1516379531158000&amp;usg=AFQjCNH9IHtjcx92IuvRA5uA4nN0gGN5MA" href="http://www.centrostudi.cisl.it/english.html" target="_blank">CISL Study Center</a>, Florence (Italy)</span></div>
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<div><span><b>COURSE ORGANISERS</b>: Gianluca Baio, Chris Jackson, Nicky Welton, Mark Strong, Anna Heath<b><br></b></span></div>
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<div><b><span>OVERVIEW:</span></b></div>
<div><span>This summer school is intended to provide an introduction to <span>Bayesian</span> analysis and MCMC <span>methods</span> 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.</span></div>
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<div><span>The course is intended for health economists, statisticians, and decision modellers interested in the practice of <span>Bayesian</span> 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.</span></div>
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<div><span>We shall assume a basic knowledge of standard <span>methods</span> 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.</span></div>
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<div><span>The summer school is hosted in the beautiful complex of the <a rel="nofollow" data-saferedirecturl="https://www.google.com/url?hl=en-GB&amp;q=http://www.centrostudi.cisl.it/tour-virtuale.html&amp;source=gmail&amp;ust=1516379531158000&amp;usg=AFQjCNGwOc2RSmhbDIwhv8LWC-1_ycV11Q" href="http://www.centrostudi.cisl.it/tour-virtuale.html" target="_blank">Centro Studi Cisl</a>, overlooking and a short distance from Florence (Italy). The registration fees include <b>full board accommodation</b> in the Centro Studi. </span></div>
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<div><span>More information can be found at the summer school <a rel="nofollow" data-saferedirecturl="https://www.google.com/url?hl=en-GB&amp;q=http://www.statistica.it/gianluca/bayes-hecourse&amp;source=gmail&amp;ust=1516379531158000&amp;usg=AFQjCNEV7AAKY3U-t_TLhaI4ZajDGE2PHA" href="http://www.statistica.it/gianluca/bayes-hecourse" target="_blank">webpage</a>. Registration is available from the <a rel="nofollow" data-saferedirecturl="https://www.google.com/url?hl=en-GB&amp;q=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&amp;source=gmail&amp;ust=1516379531158000&amp;usg=AFQjCNEpfNDt2dGVZoHYYleBM3NLB0gVyA" href="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" target="_blank"><span>UCL</span> <span>Store</span></a>. For more details or enquiries, email Dr <a rel="nofollow" href="mailto:g.baio@ucl.ac.uk" target="_blank">Gianluca Baio</a>.</span></div>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://gianlubaio.blogspot.com/2018/01/501-days-of-summer-school.html"> Gianluca Baio's blog</a></strong>.</div>
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