Expected utility versus expected regret theory versions of decision curve analysis do generate different results when treatment effects are taken into account
Abstract
Decision 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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Dec 15, 2016
- Source ID
- 10.1111/jep.12676
Entities
People
- Athanasios Tsalatsanis
- Benjamin Djulbegovic
- Iztok Hozo
Organizations
- Indiana University Northwest
- Tampa General Hospital
- United States Department of Defense
- University of South Florida