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

Christopher McCabe (), Giovanni Tramonti, Andrew Sutton, Peter Hall and Mike Paulden
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Christopher McCabe: Institute of Health Economics
Giovanni Tramonti: University of Edinburgh
Andrew Sutton: Institute of Health Economics
Peter Hall: University of Edinburgh
Mike Paulden: University of Alberta

PharmacoEconomics, 2021, vol. 39, issue 1, No 2, 19-24

Abstract: 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.

Date: 2021
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DOI: 10.1007/s40273-020-00983-7

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