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Methods for Communicating the Impact of Parameter Uncertainty in a Multiple-Strategies Cost-Effectiveness Comparison.

Harold B WolffVenetia QendriNatalia KunstFernando Alarid-EscuderoVeerle M H Coupé
Published in: Medical decision making : an international journal of the Society for Medical Decision Making (2022)
To assess confidence in a chosen course of action, decision makers require information on both the probability and the consequences of making a wrong decision.This article contains an overview of methods for presenting uncertainty in multiple-strategy cost-effectiveness analyses.We propose a heat map that combines the probability of cost-effectiveness from the cost-effectiveness acceptability curve (CEAC) with the consequences of a wrong decision from the expected loss curve.Collapsing of the CEAC can be reduced by relaxing the CEAC, as proposed in this article.Code in Microsoft Excel and R is provided to easily analyze data using the methods discussed in this article.
Keyphrases
  • decision making
  • healthcare
  • electronic health record
  • machine learning
  • case report
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