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

Author:

Gengsheng Qin 1,Hotilovac Lejla2

Affiliation:

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

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

Abstract

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.

Publisher

SAGE Publications

Subject

Health Information Management,Statistics and Probability,Epidemiology

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