Sukhatme S, Beam C A
Department of Statistics, Iowa State University, Ames 50011-1210.
Biometrics. 1994 Mar;50(1):149-63.
In many clinical experiments it is clear that external factors can affect the performance of diagnostic tests as these factors influence the distributions of separator variables. The authors investigate how stratification of cases and/or controls can be used in nonparametric received operating characteristic (ROC) studies, and develop statistical methods using stratification. The method can be used to simultaneously assess the ability of a diagnostic marker against several types of controls or cases. This allows a new method for the assessment of diagnostic tests.
在许多临床实验中，很明显外部因素会影响诊断测试的性能，因为这些因素会影响分隔变量的分布。作者研究了如何在非参数接受操作特征（ROC）研究中使用病例和/或对照的分层，并开发了使用分层的统计方法。该方法可用于同时评估诊断标志物针对几种类型对照或病例的能力。这为诊断测试的评估提供了一种新方法。
