Tanzania
Research Article
Correcting AUC for Measurement Error
Author(s): Bernard Rosner, Shelley Tworoger and Weiliang QiuBernard Rosner, Shelley Tworoger and Weiliang Qiu
Diagnostic biomarkers are used frequently in epidemiologic and clinical work. The ability of a diagnostic biomarker to discriminate between subjects who develop disease (cases) and subjects who do not (controls) is often measured by the area under the receiver operating characteristic curve (AUC). The diagnostic biomarkers are usually measured with error. Ignoring measurement error can cause biased estimation of AUC, which results in misleading interpretation of the efficacy of a diagnostic biomarker. Several methods have been proposed to correct AUC for measurement error, most of which required the normality assumption for the distributions of diagnostic biomarkers. In this article, we propose a new method to correct AUC for measurement error and derive approximate confidence limits for the corrected AUC. The proposed method does not require the normality.. Read More»
DOI:
10.4172/2155-6180.1000270
Journal of Biometrics & Biostatistics received 3254 citations as per Google Scholar report