Performance of screening and diagnostic tests. Application of receiver operating characteristic analysis.
Performance of screening and diagnostic tests. Application of receiver operating characteristic analysis.
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DOI：
10.1001/archpsyc.1987.01800180068011
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发表时间：
1987-06
影响因子：
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通讯作者：
J. Murphy;D. Berwick;M. Weinstein;J. Borus;S. Budman;G. Klerman
中科院分区：
文献类型：
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作者：
J. Murphy;D. Berwick;M. Weinstein;J. Borus;S. Budman;G. Klerman
精神病筛查和诊断测试的评估受益于敏感性、特异性、卡帕统计量和预测值的应用。这些措施的含义来自单一的标准阈值。受试者工作特征（ROC）分析通过提供关于所有可能的可实现的灵敏度和特异性值对的信息来扩展测试性能的评估。ROC分析提供了一个全面的方法来比较不同的测试或一个测试的不同评分程序。作为示范，我们使用ROC分析来评估三种类型的评分规则的一个精神病测试，健康意见调查。结果表明，ROC分析可作为精神病学研究中测验评价的标准方法之一。此外，ROC分析可以帮助临床医生为特定患者群体选择适当的测试程序。
Evaluation of psychiatric screening and diagnostic tests has benefited from the application of sensitivity, specificity, the kappa-statistic, and predictive values. These measures derive their meaning from a single criterion threshold. Receiver operating characteristic (ROC) analysis extends assessment of test performance by providing information about all possible pairs of achievable sensitivity and specificity values. The ROC analysis offers a comprehensive means for comparing different tests or different scoring procedures for one test. As a demonstration we used the ROC analysis to evaluate three types of scoring rules for one psychiatric test, the Health Opinion Survey. The demonstration indicated that ROC analysis can profitably take a place among the standard methods for test evaluation in psychiatric research. In addition, ROC analysis can assist clinicians in selecting appropriate test procedures for particular patient populations.