决策曲线分析

决策曲线分析（Decision Curve Analysis，DCA）是纪念斯隆凯特琳癌症研究所的Andrew Vickers博士（vickersa@mskcc.org）等人2006年研究出另一种新的评价方法（传统方法是二战时期诞生的ROC曲线）,它是用来评价预测模型、诊断测试和分子标记的一种简单直观的方法。

Unlike traditional biostatistical techniques, it can provide information as to a test's clinical value, but unlike traditional decision analytic techniques, it does not require patient preferences or formal estimation of the health value of various health outcomes: Only a general clinical estimate is required. 

软件实现：

Stata：

https://www.mskcc.org/sites/default/files/node/4509/documents/downloadstatacode_0.zip

SAS

https://www.mskcc.org/sites/default/files/node/4509/documents/downloadsascode.zip

R:2016年，Kerr等人专为决策曲线制作了个名为DecisionCurve的R语言包。

https://www.mskcc.org/sites/default/files/node/4509/documents/downloadrcode.zip

教程：

https://www.mskcc.org/sites/default/files/node/4509/documents/dca-tutorial-2015-2-26.pdf

数据：

https://www.mskcc.org/sites/default/files/node/4509/documents/decisioncurveanalysis.zip