INDIRECT AND MIXED TREATMENT COMPARISONS
September 19th - 21st 2011, Vaughan College, Leicester, UK.
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
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 School of Social and Community Medicine, University of
*Anyone undertaking or managing health technology assessments, including in
the context of cost-effectiveness analysis,
*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,
*Anyone responsible for managing systematic reviews.
WHAT YOU WILL LEARN
By the end of the course participants will be able to:
*Conduct pair-wise, indirect comparison and mixed treatment comparison
(IC/MTC) evidence synthesis using WinBUGS Bayesian software,
*Adjust for covariates,
*Integrate statistical evidence synthesis with probabilistic cost
*Assess the degree of heterogeneity and inconsistency in RCT data,
*Understand the assumptions and potential pitfalls in pair-wise and IC/MTC
*Participants will also have an introductory understanding of Bayesian
methods, hierarchical modeling, and be able to use WinBUGS software.
Prof Keith Abrams, Prof Tony Ades, Debbi Caldwell, Nicola Cooper, Sofia
Prof Alex Sutton and Nicky Welton
FURTHER DETAILS and REGISTRATION FORMS from:
Dr. Nicky J. Welton
Senior Lecturer in Biostatistics
School of Social and Community Medicine
University of Bristol
39 Whatley Road
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