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敏感度与特异度

敏感度(Sensitivity)和特异度(Specificity)是衡量诊断测试准确性的基本指标。敏感度是指测试正确识别患病者的概率(真阳性率:TP / (TP + FN))。特异度是指测试正确识别未患病者的概率(真阴性率:TN / (TN + FP))。任何测试都涉及权衡:提高敏感度(捕获所有患病者)通常会降低特异度(增加假阳性)。测试阈值的选择取决于临床背景:对严重疾病的筛查倾向于高敏感度;确诊则倾向于高特异度。

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来源

  1. Altman, D. G., & Bland, J. M. (1994). Diagnostic tests 1: Sensitivity and specificity. BMJ, 308(6943), 1552. link
  2. Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861–874. DOI: 10.1016/j.patrec.2005.10.010
  3. Metz, C. E. (1978). Basic principles of ROC analysis. Seminars in Nuclear Medicine, 8(4), 283–298. DOI: 10.1016/S0001-2998(78)80014-2

如何引用本页

ScholarGate. (2026, June 3). Sensitivity and Specificity in Diagnostic Testing and Binary Classification. ScholarGate. https://scholargate.app/zh/research-statistics/sensitivity-specificity

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ScholarGateSensitivity and Specificity (Sensitivity and Specificity in Diagnostic Testing and Binary Classification). 于 2026-06-15 检索自 https://scholargate.app/zh/research-statistics/sensitivity-specificity · 数据集: https://doi.org/10.5281/zenodo.20539026