决策曲线分析法
2006年，纪念斯隆凯特琳癌症研究所的AndrewVickers博士等人研究出另一种评价方法，叫决策曲线分析法（Decision Curve Analysis，DCA）。定义：Decision curve analysis is a simple method for evaluating prediction models, diagnostic tests, and molecular markers.
编辑推荐
2012-2016年间，多家知名期刊都已陆续发表社论，推荐使用决策曲线分析法。
- Kerr KF, Brown MD, Zhu K, Janes H. Assessing the Clinical Impact of Risk Prediction Models With Decision Curves: Guidance for Correct Interpretation and Appropriate Use. J Clin Oncol. 2016 Jul 20;34(21):2534-40. doi: 10.1200/JCO.2015.65.5654.
- Vickers AJ, Van Calster B, Steyerberg EW. Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests. BMJ. 2016 Jan 25;352:i6. doi: 10.1136/bmj.i6.
- Fitzgerald M, Saville BR, Lewis RJ. Decision curve analysis. JAMA. 2015 Jan 27;313(4):409-10. doi: 10.1001/jama.2015.37.
- Localio AR, Goodman S. Beyond the usual prediction accuracy metrics: reporting results for clinical decision making. Ann Intern Med. 2012 Aug 21;157(4):294-5. doi: 10.7326/0003-4819-157-4-201208210-00014.
软件实现
- Stata https://www.mskcc.org/sites/default/files/node/4509/documents/downloadstatacode_0.zip
- R https://www.mskcc.org/sites/default/files/node/4509/documents/downloadrcode.zip
- SAS https://www.mskcc.org/sites/default/files/node/4509/documents/downloadsascode.zip
教程
使用Stata、R和SAS做一个简单DCA，包括绘图、解释结果和保存输出，的详细PDF教程见该链接https://www.mskcc.org/sites/default/files/node/4509/documents/dca-tutorial-2015-2-26.pdf ，该教程还包括showing net reduction in interventions; evaluation of joint or conditional tests; evaluation of published models; application to censored data, including competing risk.
文档例子涉及的数据及Stata、R和SAS代码见https://www.mskcc.org/sites/default/files/node/4509/documents/decisioncurveanalysis.zip，演示数据有四种格式：text、 CSV、 Stata和 R。
