Pepe Margaret, Longton Gary, Janes Holly
Fred Hutchinson Cancer Research Center, Seattle, Washington, USA,
Stata J. 2009 Mar 1;9(1):1.
The receiver operating characteristic (ROC) curve displays the capacity of a marker or diagnostic test to discriminate between two groups of subjects, cases versus controls. We present a comprehensive suite of Stata commands for performing ROC analysis. Non-parametric, semiparametric and parametric estimators are calculated. Comparisons between curves are based on the area or partial area under the ROC curve. Alternatively pointwise comparisons between ROC curves or inverse ROC curves can be made. Options to adjust these analyses for covariates, and to perform ROC regression are described in a companion article. We use a unified framework by representing the ROC curve as the distribution of the marker in cases after standardizing it to the control reference distribution.
受试者工作特征（ROC）曲线展示了一个标志物或诊断测试区分两组受试者（病例组与对照组）的能力。我们展示了一套用于执行ROC分析的完整Stata命令。计算了非参数、半参数和参数估计量。曲线之间的比较基于ROC曲线下的面积或部分面积。也可以对ROC曲线或逆ROC曲线进行逐点比较。在一篇配套文章中描述了针对协变量调整这些分析以及执行ROC回归的选项。我们通过将ROC曲线表示为将标志物标准化为对照参考分布后在病例组中的分布，使用了一个统一的框架。
