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使用估计方程对ROC曲线下估计面积进行经验贝叶斯组合。

Empirical Bayes combination of estimated areas under ROC curves using estimating equations.

作者信息

Zhou X H

机构信息

Department of Medicine, Indiana University School of Medicine, Indianapolis, USA.

出版信息

Med Decis Making. 1996 Jan-Mar;16(1):24-8. doi: 10.1177/0272989X9601600109.

Abstract

A synthesis of the empirical Bayes method and the method of estimating equations is used to combine individual receiver operating characteristic (ROC) area estimates from different studies of the same diagnostic test into a single estimate. This single estimate represents the population mean from which individual areas under the ROC curves were sampled. The only data needed to carry out the method are estimated areas under the ROC curves and the corresponding standard errors.

摘要

经验贝叶斯方法与估计方程法相结合,用于将同一诊断测试不同研究中的个体受试者工作特征(ROC)曲线下面积估计值合并为一个单一估计值。这个单一估计值代表了从中抽取ROC曲线下各个面积的总体均值。实施该方法所需的唯一数据是ROC曲线下的估计面积及其相应的标准误差。

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