INDIRECT AND MIXED TREATMENT COMPARISONS
3-day Course
August 17-19 2009, Leicester
This course is for health economists, statisticians, 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.
COURSE FACULTY
Prof Keith Abrams, Prof Tony Ades, Debbi Caldwell, Nicola Cooper, Sofia
Dias, Prof Alex Sutton and Nicky Welton
COURSE PRE-REQUISITES
Participants should be familiar with the basic principles of meta-analysis,
and have a good working knowledge of logistic regression and statistical
interaction. Experience with probabilistic decision analysis in cost
effectiveness analysis would be an advantage, but is not necessary.
FURTHER DETAILS and REGISTRATION FORMS from
http://www.bristol.ac.uk/cobm/research/mpes
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Dr. Nicky J. Welton
Senior Lecturer in Biostatistics
Department of Community Based Medicine
University of Bristol
Cotham House
Cotham Hill
Bristol BS6 6JL
Tel: +44(0)117 3310637
Fax: +44(0)117 9546672
Email: [log in to unmask]
http://www.bristol.ac.uk/cobm/research/mpes
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