Monte Carlo decision curve analysis using aggregate data

Abstract

Decision curve analysis (DCA) is an increasingly used method for evaluating diagnostic tests and predictive models, but its application requires individual patient data. The Monte Carlo (MC) method can be used to simulate probabilities and outcomes of individual patients and offers an attractive option for application of DCA.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 28, 2017
Source ID
10.1111/eci.12723

Entities

People

  • Athanasios Tsalatsanis
  • Benjamin Djulbegovic
  • Iztok Hozo

Organizations

  • Indiana University
  • Tampa General Hospital
  • United States Department of Defense
  • University of South Florida

Tags

Readers

  • Statistical inference.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Trauma Surgery or Emergency Medicine.