This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Add to Saved Citations Download to citation manager Add to My Marked Citations Google Scholar Articles by Gengsheng Qin, Articles by Hotilovac, L. PubMed PubMed Citation Articles by Gengsheng Qin, Articles by Hotilovac, L. Social Bookmarking                   What's this?

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.

CiteULike    Connotea    Del.icio.us    Digg    Reddit    Technorati    What's this?