iHEA

International Health Economics Association

7th World Congress: Harmonizing Health and Economics

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September 20, 2010

Indirect And Mixed Treatment Comparisons: 3-day course

Location: Leicester, UK
Venue: Vaughan College
Dates: September 20-22 2010

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.

Intended Audience

  • 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.

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

permalink September 2010: Short Course

Contact

iHEA 902-461-4432
902-461-IHEA
416-352-1395 fax

Tom GetzenExecutive Director and CEO
215-242-1196

Bill SwanDeputy CEO