Process / pipelinediagnostic-testing
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。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Altman, D. G., & Bland, J. M. (1994). Diagnostic tests 1: Sensitivity and specificity. BMJ, 308(6943), 1552. link ↗
- Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861–874. DOI: 10.1016/j.patrec.2005.10.010 ↗
- 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
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 →