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August 17, 2009
Indirect and Mixed Treatment Comparisons: 3-day course
Location: Vaughan College, Leicester, UK
Dates: August 17-19, 2009
COURSE TUTORS:
Professor Keith Abrams, Professor Tony Ades, Dr Debbie Caldwell, Dr Nicola Cooper, Dr Sofia Dias, Professor Alex Sutton, and Dr Nicky Welton
INTENDED AUDIENCE:
(a) Anyone undertaking or managing health technology assessments,
including in the context of cost-effectiveness analysis.
(b)
Statisticians, familiar with the principles of meta-analysis, who wish
to learn about Bayesian methods for evidence synthesis particularly in
the context of cost-effectiveness analysis.
(c) Anyone responsible for
managing systematic reviews.
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.
It is a collaboration between the Department of Health Sciences, University of Leicester and the Department of Community Based Medicine, University of Bristol.
FURTHER DETAILS (and booking form) can be found at:
