Hypothesis testClassical statistics
ROC分析（受试者工作特征）
ROC分析评估连续或有序检验变量区分两个二元结果类别的能力。通过绘制所有决策阈值下的真阳性率（敏感度）与假阳性率（1 - 特异度）的关系图，它生成一条曲线，其曲线下面积（AUC）量化了整体判别能力，范围从0.5（随机）到1.0（完美判别）。
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来源
- Hanley, J. A., & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143(1), 29–36. DOI: 10.1148/radiology.143.1.7063747 ↗
- Zweig, M. H., & Campbell, G. (1993). Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clinical Chemistry, 39(4), 561–577. DOI: 10.1093/clinchem/39.4.561 ↗
如何引用本页
ScholarGate. (2026, June 3). Receiver Operating Characteristic Analysis. ScholarGate. https://scholargate.app/zh/statistics/roc-analysis
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