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Comparison of non-parametric confidence intervals for the area under the ROC curve of a continuous-scale diagnostic test

Department of Mathematics and Statistics, Georgia State University, 30 Pryor Street, Atlanta, GA 30303, USA, gqin{at}gsu.edu

Lejla Hotilovac

Department of Mathematics and Statistics, Georgia State University, 30 Pryor Street, Atlanta, GA 30303, USA

The accuracy of a diagnostic test with continuous-scale results is of high importance in clinical medicine. It is often summarised by the area under the ROC curve (AUC). In this article, we discuss and compare nine non-parametric confidence intervals of the AUC for a continuous-scale diagnostic test. Simulation studies are conducted to evaluate the relative performance of the confidence intervals for the AUC in terms of coverage probability and average interval length. A real example is used to illustrate the application of the recommended methods.

Statistical Methods in Medical Research, Vol. 17, No. 2, 207-221 (2008)
DOI: 10.1177/0962280207087173


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