Expected utility versus expected regret theory versions of decision curve analysis do generate different results when treatment effects are taken into account

摘要

Rationale, aims, and objectivesDecision curve analysis (DCA) is a widely used method for evaluating diagnostic tests and predictive models. It was developed based on expected utility theory (EUT) and has been reformulated using expected regret theory (ERG). Under certain circumstances, these 2 formulations yield different results. Here we describe these situations and explain the variation.