首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Confidence interval estimation of the difference between paired AUCs based on combined biomarkers
Authors:Lili Tian  Albert Vexler  Li Yan  Enrique F Schisterman
Institution:1. Department of Biostatistics, University at Buffalo, 249 Farber Hall, 3435 Main St. Bldg. 26 Buffalo, NY 14214-3000, USA;2. Division of Epidemiology, Statistics and Prevention, NICHD, NIH, USA
Abstract:In many diagnostic studies, multiple diagnostic tests are performed on each subject or multiple disease markers are available. Commonly, the information should be combined to improve the diagnostic accuracy. We consider the problem of comparing the discriminatory abilities between two groups of biomarkers. Specifically, this article focuses on confidence interval estimation of the difference between paired AUCs based on optimally combined markers under the assumption of multivariate normality. Simulation studies demonstrate that the proposed generalized variable approach provides confidence intervals with satisfying coverage probabilities at finite sample sizes. The proposed method can also easily provide P-values for hypothesis testing. Application to analysis of a subset of data from a study on coronary heart disease illustrates the utility of the method in practice.
Keywords:Receiver operating characteristic (ROC) curve  Optimal linear combinations  Generalized pivot  Generalized test variable
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号