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.

中文翻译：

---

接收器操作特性曲线的估计和比较。

受试者工作特征 (ROC) 曲线显示标记或诊断测试区分两组受试者（病例与对照组）的能力。我们提供了一套用于执行 ROC 分析的综合 Stata 命令。计算非参数、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。或者，可以进行 ROC 曲线或逆 ROC 曲线之间的逐点比较。调整协变量的这些分析和执行 ROC 回归的选项在配套文章中进行了描述。在将 ROC 曲线标准化为对照参考分布后，我们使用统一框架将 ROC 曲线表示为标记的分布。