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Bayesian Methods for Evidence Synthesis in Cost-Effectiveness Analysis

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Author Info

  • A.E. Ades

    (Medical Research Council Health Services Research Collaboration, University of Bristol, Bristol, England)

  • Mark Sculpher

    (Centre for Health Economics, University of York, York, England)

  • Alex Sutton

    (Centre for Biostatistics & Genetic Epidemiology, Department of Health Sciences, University of Leicester, Leicester, England)

  • Keith Abrams

    (Centre for Biostatistics & Genetic Epidemiology, Department of Health Sciences, University of Leicester, Leicester, England)

  • Nicola Cooper

    (Centre for Biostatistics & Genetic Epidemiology, Department of Health Sciences, University of Leicester, Leicester, England)

  • Nicky Welton

    (Medical Research Council Health Services Research Collaboration, University of Bristol, Bristol, England)

  • Guobing Lu

    (Medical Research Council Health Services Research Collaboration, University of Bristol, Bristol, England)

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    Abstract

    Recently, health systems internationally have begun to use cost-effectiveness research as formal inputs into decisions about which interventions and programmes should be funded from collective resources. This process has raised some important methodological questions for this area of research. This paper considers one set of issues related to the synthesis of effectiveness evidence for use in decision-analytic cost-effectiveness (CE) models, namely the need for the synthesis of all sources of available evidence, although these may not `fit neatly' into a CE model. Commonly encountered problems include the absence of head-to-head trial evidence comparing all options under comparison, the presence of multiple endpoints from trials and different follow-up periods. Full evidence synthesis for CE analysis also needs to consider treatment effects between patient subpopulations and the use of nonrandomised evidence. Bayesian statistical methods represent a valuable set of analytical tools to utilise indirect evidence and can make a powerful contribution to the decision-analytic approach to CE analysis. This paper provides a worked example and a general overview of these methods with particular emphasis on their use in economic evaluation.

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    Bibliographic Info

    Article provided by Springer Healthcare | Adis in its journal PharmacoEconomics.

    Volume (Year): 24 (2006)
    Issue (Month): 1 ()
    Pages: 1-19
    Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
    Handle: RePEc:wkh:phecon:v:24:y:2006:i:1:p:1-19

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    Web page: http://pharmacoeconomics.adisonline.com/

    For corrections or technical questions regarding this item, or to correct its listing, contact: (Dave Dustin).

    Related research

    Keywords: Bayesian-analysis; Cost-effectiveness; Evidence-based-medicine;

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