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Presenting results of probabilistic sensitivity analysis: the incremental benefit curve

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  • Mohan V. Bala
  • Gary A. Zarkin
  • Josephine Mauskopf

Abstract

Cost‐effectiveness acceptability curves have become a common way of presenting the results of probabilistic sensitivity analysis. However, these curves do not provide information on what the loss of welfare or net benefit (NB) is for cases where a given intervention is not the optimal one. We describe an alternate approach to presenting the results of probabilistic sensitivity analysis called the incremental benefit curve that presents the entire distribution of incremental NB of each intervention for a given WTP value. The incremental benefit curve provides the decision maker information regarding the potential welfare loss with a given intervention for scenarios in which it is not the optimal intervention, and thus would be a useful complement to the acceptability curve. Copyright © 2007 John Wiley & Sons, Ltd.

Suggested Citation

  • Mohan V. Bala & Gary A. Zarkin & Josephine Mauskopf, 2008. "Presenting results of probabilistic sensitivity analysis: the incremental benefit curve," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 435-440, March.
    • Handle: RePEc:wly:hlthec:v:17:y:2008:i:3:p:435-440
    DOI: 10.1002/hec.1274
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    References listed on IDEAS

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    Cited by:

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    2. H. Koffijberg & G. A. de Wit & T. L. Feenstra, 2012. "Communicating Uncertainty in Economic Evaluations," Medical Decision Making, , vol. 32(3), pages 477-487, May.
    3. Klemen Naveršnik, 2015. "Output correlations in probabilistic models with multiple alternatives," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 133-139, March.

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