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稳健 ROC 分析

稳健 ROC 分析在区分两个群体(例如,患病与健康)时,评估连续或有序生物标志物的诊断准确性,同时能抵抗可能导致标准参数 ROC 估计和 AUC 置信区间产生偏差的异常值、非正态性或分布违背等扭曲效应。

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Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Pepe, M. S. (2000). An interpretation for the ROC curve and inference using GLM procedures. Biometrics, 56(2), 352–359. DOI: 10.1111/j.0006-341X.2000.00352.x
  2. Qin, G., & Zhou, X.-H. (2006). Empirical likelihood inference for the area under the ROC curve. Biometrics, 62(2), 613–622. DOI: 10.1111/j.1541-0420.2005.00453.x

如何引用本页

ScholarGate. (2026, June 3). Robust Receiver Operating Characteristic Analysis. ScholarGate. https://scholargate.app/zh/statistics/robust-roc-analysis

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side
ScholarGateRobust ROC analysis (Robust Receiver Operating Characteristic Analysis). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/robust-roc-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026