Decision curve analysis

Decision curve analysis (DCA) is a statistical method used to evaluate the clinical utility of predictive models, particularly in the context of medical decision-making. It helps to assess the net benefits of using a specific predictive tool (such as a risk score or diagnostic test) by evaluating the trade-offs between true positive rates (sensitivity) and false positive rates (1-specificity) across a range of threshold probabilities.