Skip Navigation


Biometrika Advance Access originally published online on April 1, 2009
Biometrika 2009 96(2):371-382; doi:10.1093/biomet/asp002
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
96/2/371    most recent
asp002v1
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Janes, H.
Right arrow Articles by Pepe, M. S.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2009 Biometrika Trust

Article

Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curve

Holly Janes and Margaret S. Pepe

Division of Public Health Sciences, Fred Hutchinson Cancer, Research Center, 1100 Fairview Avenue North, Seattle, Washington 98109, U.S.A. hjanes{at}scharp.org mspepe{at}u.washington.edu

Received for publication 1 May 2007. Revision received 1 June 2008.
  Abstract

Recent scientific and technological innovations have produced an abundance of potential markers that are being investigated for their use in disease screening and diagnosis. In evaluating these markers, it is often necessary to account for covariates associated with the marker of interest. Covariates may include subject characteristics, expertise of the test operator, test procedures or aspects of specimen handling. In this paper, we propose the covariate-adjusted receiver operating characteristic curve, a measure of covariate-adjusted classification accuracy. Nonparametric and semiparametric estimators are proposed, asymptotic distribution theory is provided and finite sample performance is investigated. For illustration we characterize the age-adjusted discriminatory accuracy of prostate-specific antigen as a biomarker for prostate cancer.

Key Words: Classification accuracy • Covariate effect • Receiver operating characteristic curve • Sensitivity • Specificity


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.