Medical Decision Making

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Register here to gain access to SAGE's 500+ Journals Online

SAGETRACK

Sign In to gain access to subscriptions and/or personal tools.
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Cantor, S. B.
Right arrow Articles by Kattan, M. W.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Cantor, S. B.
Right arrow Articles by Kattan, M. W.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Medical Decision Making, Vol. 20, No. 4, 468-470 (2000)
DOI: 10.1177/0272989X0002000410

Other

Determining the Area under the ROC Curve for a Binary Diagnostic Test

Scott B. Cantor, PhD

Address correspondence and reprint requests to Dr. Cantor: The University of Texas M. D Anderson Cancer Center, Department of Health Services Research, 1515 Holcombe Boulevard, Box 40, Houston, TX 77030-4095; telephone: (713) 745-8552; fax: (713) 792-8700; e-mail (sbcantor{at}mdanderson.org)

Michael W. Kattan, PhD

Address correspondence and reprint requests to Dr. Cantor: The University of Texas M. D Anderson Cancer Center, Department of Health Services Research, 1515 Holcombe Boulevard, Box 40, Houston, TX 77030-4095; telephone: (713) 745-8552; fax: (713) 792-8700; e-mail (sbcantor{at}mdanderson.org)

The authors provide a simple calculation for the unbiased estimation of the area under the ROC curve for a binary diagnostic test or a continuously valued test result that is effectively used in a binary way. The formula described can be used to interpret the discriminative ability of a diagnostic test. Key words: ROC curve analysis, binary diagnostic test; discriminative ability. (Med Decis Making 2000;20:468-470)


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


This article has been cited by other articles:


Home page
 Arch NeurolHome page
D. L. Jennings, J. P. Seibyl, D. Oakes, S. Eberly, J. Murphy, and K. Marek
(123I) {beta}-CIT and Single-Photon Emission Computed Tomographic Imaging vs Clinical Evaluation in Parkinsonian Syndrome: Unmasking an Early Diagnosis
Arch Neurol, August 1, 2004; 61(8): 1224 - 1229.
[Abstract] [Full Text] [PDF]

Home page
 PsychosomaticsHome page
C. Boutin-Foster, S. J. Ferrando, and M. E. Charlson
The Cornell Psychiatric Screen: A Brief Psychiatric Scale for Hospitalized Medical Patients
Psychosomatics, October 1, 2003; 44(5): 382 - 387.
[Abstract] [Full Text] [PDF]

Home page
 Med Decis MakingHome page
W. B. van den Hout
The Area under an ROC Curve with Limited Information
Med Decis Making, March 1, 2003; 23(2): 160 - 166.
[Abstract] [PDF]