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：
10.1093/biomet/76.3.585
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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
在本文中，我们研究了广泛的一类非参数统计比较两个诊断标志物。人们可以通过从该类中选择适当的统计量来比较这些诊断标志物在有限的特异性范围内的灵敏度。作为特殊情况，可以比较受试者-操作者曲线下的整个区域（汉利和麦克尼尔，1982年），或者可以比较固定常见特异性的灵敏度。通常，我们会建议比较的基础上的平均敏感性超过一个有限的高水平的特异性。检验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，其中对每例受试者进行两种诊断标志物，也适用于未配对数据。所述程序可用于比较多个诊断标志物的两个真实的函数以及比较单个标志物。
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.