A FAMILY OF NONPARAMETRIC STATISTICS FOR COMPARING DIAGNOSTIC MARKERS WITH PAIRED OR UNPAIRED DATA
A FAMILY OF NONPARAMETRIC STATISTICS FOR COMPARING DIAGNOSTIC MARKERS WITH PAIRED OR UNPAIRED DATA
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DOI：
10.2307/2336123
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发表时间：
1989-09-01
期刊：
影响因子：
2.7
通讯作者：
JAMES, KL
中科院分区：
文献类型：
--
作者：
WIEAND, S;GAIL, MH;JAMES, KL
本文研究了一类用于比较两种诊断标记的非参数统计。通过从这类中选择适当的统计数据，可以比较这些诊断标记在有限特异性范围内的敏感性。作为特殊情况，可以比较接收者-操作者曲线下的整个区域（Hanley和McNeil， 1982），或者可以在固定的共同特异性上比较灵敏度。通常，我们会建议在有限的高水平特异性的基础上对灵敏度进行平均比较。测试程序和置信区间基于渐近正态性。这些程序适用于配对数据，其中对每个受试者执行两种诊断标记，以及非配对数据。该程序可用于比较多个诊断标记的两个实际功能以及比较单个标记。
In this paper we study a broad class of nonparametric statistics for comparing two diagnostic markers. One can compare the sensitivities of these diagnostic markers over restricted ranges of specificity by selecting an appropriate statistic from this class. As special cases, one can compare the entire area under the receiver-operator curve (Hanley and McNeil, 1982), or one can compare the sensitivities at a fixed common specificity. Usually we would recommend a comparison based on an average of sensitivities over a restricted high level of specificities. Test procedures and confidence intervals are based on asymptotic normality. These procedures are applicable for paired data, in which both diagnostic markers are performed on each subject, and for unpaired data. The procedures may be used to compare two real functions of multiple diagnostic markers as well as to compare individual markers.