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dc.contributor.authorEpstein, David Mark 
dc.date.accessioned2020-04-23T11:50:56Z
dc.date.available2020-04-23T11:50:56Z
dc.date.issued2019
dc.identifier.citationEpstein, D. (2019). Beyond the cost‐effectiveness acceptability curve: The appropriateness of rank probabilities for presenting the results of economic evaluation in multiple technology appraisal. Health economics, 28(6), 801-807.es_ES
dc.identifier.urihttp://hdl.handle.net/10481/61543
dc.description.abstractThe cost‐effectiveness acceptability curve (CEAC) shows the probability that an option ranks first for net benefit. Where more than two options are under consideration, the CEAC offers only a partial picture of the decision uncertainty. This paper discusses the appropriateness of showing the full set of rank probabilities for reporting the results of economic evaluation in multiple technology appraisal (MTA). A case study is used to illustrate the calculation of rank probabilities and associated metrics, based on Monte Carlo simulations from a decision model. Rank probabilities are often used to show uncertainty in the results of network meta‐analysis, but until now have not been used for economic evaluation. They may be useful decision‐making tools to complement the CEAC in specific MTA contexts.es_ES
dc.language.isoenges_ES
dc.publisherWileyes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectCost‐effectiveness acceptability curvees_ES
dc.subjectDecision-makinges_ES
dc.subjectDecision modeles_ES
dc.subjectHealth technologyes_ES
dc.subjectRank probabilitieses_ES
dc.titleBeyond the cost‐effectiveness acceptability curve: The appropriateness of rank probabilities for presenting the results of economic evaluation in multiple technology appraisales_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1002/hec.3884


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