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Probabilistic One-Way Sensitivity Analysis with Multiple Comparators: The Conditional Net Benefit Frontier

Author

Listed:
  • Christopher McCabe

    (Institute of Health Economics
    University of Alberta)

  • Giovanni Tramonti

    (University of Edinburgh)

  • Andrew Sutton

    (Institute of Health Economics)

  • Peter Hall

    (University of Edinburgh)

  • Mike Paulden

    (University of Alberta)

Abstract

Although there have been substantial developments in the analysis of uncertainty in economic evaluations of health care programmes, the development of methods for one-way sensitivity analysis has been notably slower. Conditional incremental net benefit was recently proposed as an approach for implementing probabilistic one-way sensitivity analysis for economic evaluations comparing two strategies. In this paper, we generalise this approach to economic evaluations that compare three or more strategies. We find that ‘conditional net benefit’ may be used to conduct probabilistic one-way sensitivity analysis for economic evaluations comparing any number of strategies. We also propose the ‘conditional net benefit frontier’, which may be used to identify the most cost-effective of any number of strategies conditional upon the specific value of a parameter of interest.

Suggested Citation

  • Christopher McCabe & Giovanni Tramonti & Andrew Sutton & Peter Hall & Mike Paulden, 2021. "Probabilistic One-Way Sensitivity Analysis with Multiple Comparators: The Conditional Net Benefit Frontier," PharmacoEconomics, Springer, vol. 39(1), pages 19-24, January.
  • Handle: RePEc:spr:pharme:v:39:y:2021:i:1:d:10.1007_s40273-020-00983-7
    DOI: 10.1007/s40273-020-00983-7
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    References listed on IDEAS

    as
    1. Christopher McCabe & Mike Paulden & Isaac Awotwe & Andrew Sutton & Peter Hall, 2020. "One-Way Sensitivity Analysis for Probabilistic Cost-Effectiveness Analysis: Conditional Expected Incremental Net Benefit," PharmacoEconomics, Springer, vol. 38(2), pages 135-141, February.
    2. Aaron A. Stinnett & John Mullahy, 1998. "Net Health Benefits: A New Framework for the Analysis of Uncertainty in Cost-Effectiveness Analysis," NBER Technical Working Papers 0227, National Bureau of Economic Research, Inc.
    3. Karl Claxton & Mark Sculpher & Chris McCabe & Andrew Briggs & Ron Akehurst & Martin Buxton & John Brazier & Tony O'Hagan, 2005. "Probabilistic sensitivity analysis for NICE technology assessment: not an optional extra," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 339-347, April.
    Full references (including those not matched with items on IDEAS)

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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Chris Sampson’s journal round-up for 18th January 2021
      by Chris Sampson in The Academic Health Economists' Blog on 2021-01-18 12:00:03

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