Bmc Medical Informatics and Decision Making Extensions to Decision Curve Analysis, a Novel Method for Evaluating Diagnostic Tests, Prediction Models and Molecular Markers
Bmc Medical Informatics and Decision Making Extensions to Decision Curve Analysis, a Novel Method for Evaluating Diagnostic Tests, Prediction Models and Molecular Markers
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发表时间：
2008
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通讯作者：
A. Vickers;A. Cronin;E. Elkin;M. Gonen
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作者：
A. Vickers;A. Cronin;E. Elkin;M. Gonen
背景：决策曲线分析是一种评价诊断试验、预测模型和分子标记物的新方法。它结合了精确度测量的数学简单性，如灵敏度和特异性，以及决策分析方法的临床适用性。最重要的是，决策曲线分析可以直接应用于数据集，不需要传统决策分析技术通常需要的成本，收益和偏好的外部数据。
Background: Decision curve analysis is a novel method for evaluating diagnostic tests, prediction models and molecular markers. It combines the mathematical simplicity of accuracy measures, such as sensitivity and specificity, with the clinical applicability of decision analytic approaches. Most critically, decision curve analysis can be applied directly to a data set, and does not require the sort of external data on costs, benefits and preferences typically required by traditional decision analytic techniques.