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Indirect and Mixed Treatment Comparisons: 3 day course Date: November 11th – 13th 2013 Venue: University of Leicester _______________________________________________________ OVERVIEW This course is for health economists, statisticians and decision modellers, and systematic reviewers interested in the extension of pair-wise meta-analysis to indirect and mixed treatment comparisons, in the context of either clinical effectiveness or economic evaluation. The course focuses on Bayesian methods for statistically combining evidence from networks of trials, integrating statistical estimation within a probabilistic modeling framework. The assumptions underlying both pair-wise meta-analysis and mixed treatment comparisons are critically examined. The course also covers methods for detecting and managing heterogeneity and inconsistency. This is an informal, hands-on course, based on a mixture of lectures and practical work on published datasets using the Bayesian Markov chain Monte Carlo package WinBUGS. Course tutors are available throughout to answer questions and help with exercises. The methods taught on the course were updated in 2011 to be compatible with the NICE 2008 Methods Guide and the Technical Support Documents on Evidence Synthesis (http://www.nicedsu.org.uk), and with the Report of the ISPOR Task Force on Indirect Comparisons. FULL DETAILS available from http://www.bris.ac.uk/social-community-medicine/projects/mpes/ COURSE ORGANISERS Keith Abrams, Tony Ades, Debbi Caldwell, Nicola Cooper, Sofia Dias, Alex Sutton, and Nicky Welton. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.