Moving beyond AUC: decision curve analysis for quantifying net benefit of risk prediction models

Statistical constructs such as ROC/AUC do not answer the critical question of how much clinical utility a risk prediction model confers. This paper overviews decision curve analysis, a novel method for quantifying net benefit of a risk prediction model. https://bit.ly/3h1rraX

Automated summary

Decision curve analysis is a novel method for quantifying the net benefit of a risk prediction model, providing a way to answer the critical question of clinical utility.