Abstract
Within cost effectiveness analyses (CEAs), descriptions of decision uncertainty often rely on cost effectiveness acceptability curves (CEACs) which report the probability that each alternative is cost-effective. An extension of decision uncertainty analysis in the form of net loss curves, as described in seminal contributions to the literature by Eckermann, offers distinct advantages to also inform the magnitude of losses if a sub-optimal alternative is selected. We demonstrate the advantage of net loss curves in an example of a CEA examining treatment alternatives for opioid use disorder (OUD).
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