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Moving beyond AUC: decision curve analysis for quantifying net benefit of risk prediction models
European Respiratory Journal ( IF 16.6 ) Pub Date : 2021-11-04 , DOI: 10.1183/13993003.01186-2021 Mohsen Sadatsafavi 1 , Amin Adibi 2 , Milo Puhan 3 , Andrea Gershon 4 , Shawn D Aaron 5 , Don D Sin 6
European Respiratory Journal ( IF 16.6 ) Pub Date : 2021-11-04 , DOI: 10.1183/13993003.01186-2021 Mohsen Sadatsafavi 1 , Amin Adibi 2 , Milo Puhan 3 , Andrea Gershon 4 , Shawn D Aaron 5 , Don D Sin 6
Affiliation
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.
中文翻译：
超越 AUC：量化风险预测模型净收益的决策曲线分析
ROC/AUC 等统计结构无法回答风险预测模型赋予多少临床效用这一关键问题。本文概述了决策曲线分析，这是一种量化风险预测模型净收益的新方法。
更新日期：2021-11-04
中文翻译：
超越 AUC：量化风险预测模型净收益的决策曲线分析
ROC/AUC 等统计结构无法回答风险预测模型赋予多少临床效用这一关键问题。本文概述了决策曲线分析，这是一种量化风险预测模型净收益的新方法。
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