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Trying to do better than average: a commentary on ‘statistical inference for cost‐effectiveness ratios’

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  • Andrew Briggs
  • Paul Fenn

Abstract

In a recent paper, Laska, Meisner and Siegel address issues concerning hypothesis testing in cost‐effectiveness analysis. They relate the relative magnitude of two average cost‐effectiveness ratios to the incremental cost‐effectiveness ratio and go on to propose a statistical procedure for testing the equality of two average ratios. In this paper, we show why the use of average cost‐effectiveness ratios is misleading and argue that the appropriate focus for cost‐effectiveness analysis is the estimation of confidence intervals around incremental cost‐effectiveness ratios. © 1997 John Wiley & Sons, Ltd.

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  • Andrew Briggs & Paul Fenn, 1997. "Trying to do better than average: a commentary on ‘statistical inference for cost‐effectiveness ratios’," Health Economics, John Wiley & Sons, Ltd., vol. 6(5), pages 491-495, September.
    • Handle: RePEc:wly:hlthec:v:6:y:1997:i:5:p:491-495
    DOI: 10.1002/(SICI)1099-1050(199709)6:5<491::AID-HEC293>3.0.CO;2-R
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    Cited by:

    1. Mike Paulden, 2020. "Why it’s Time to Abandon the ICER," PharmacoEconomics, Springer, vol. 38(8), pages 781-784, August.

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