ROC curve analysis: an example showing the relationships among serum lipid and apolipoprotein concentrations in identifying patients with coronary artery disease.

ROC curve analysis: an example showing the relationships among serum lipid and apolipoprotein... Abstract Clinical accuracy, defined as the ability to discriminate between states of health, is the fundamental property of any diagnostic test or system. It is readily expressed as clinical sensitivity and specificity, and elegantly represented by the receiver operating characteristic (ROC) curve. To demonstrate the use of ROC curves, we reexamine a study of the ability of serum lipid and apolipoprotein measures to discriminate among degrees of coronary artery disease in patients undergoing coronary angiography. ROC curve analysis reveals that none of these indexes is highly accurate, but demonstrates a modest increase in the accuracy of apolipoprotein over lipid indexes. © 1992 The American Association for Clinical Chemistry « Previous | Next Article » Table of Contents This Article Clinical Chemistry August 1992 vol. 38 no. 8 1425-1428 » Abstract PDF Services Email this article to a friend Alert me when this article is cited Alert me if a correction is posted Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Download to citation manager Responses No responses published Citing Articles Load citing article information Citing articles via Web of Science Citing articles via Google Scholar Google Scholar Articles by Zweig, M. H. Articles by Reinhart, R. A. Search for related content PubMed PubMed citation Articles by Zweig, M. H. Articles by Reinhart, R. A. Related Content Load related web page information Follow Us Clinical Chemistry Trainee Council Register Today! www.traineecouncil.org Information for Authors Submit a Manuscript Editorial Board Clinical Case Studies Clinical Chemistry Guide to Scientific Writing Journal Club Podcasts Translated Content Annual Meeting Abstracts Permissions and Reprints Advertising Copyright © 2012 by the American Association for Clinical Chemistry http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Clinical Chemistry American Association for Clinical Chemistry

ROC curve analysis: an example showing the relationships among serum lipid and apolipoprotein concentrations in identifying patients with coronary artery disease.

Clinical Chemistry, Volume 38 (8): 1425 – Aug 1, 1992

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Publisher
American Association for Clinical Chemistry
Copyright
Copyright © 1992 by the American Association for Clinical Chemistry.
ISSN
0009-9147
eISSN
1530-8561
Publisher site
See Article on Publisher Site

Abstract

Abstract Clinical accuracy, defined as the ability to discriminate between states of health, is the fundamental property of any diagnostic test or system. It is readily expressed as clinical sensitivity and specificity, and elegantly represented by the receiver operating characteristic (ROC) curve. To demonstrate the use of ROC curves, we reexamine a study of the ability of serum lipid and apolipoprotein measures to discriminate among degrees of coronary artery disease in patients undergoing coronary angiography. ROC curve analysis reveals that none of these indexes is highly accurate, but demonstrates a modest increase in the accuracy of apolipoprotein over lipid indexes. © 1992 The American Association for Clinical Chemistry « Previous | Next Article » Table of Contents This Article Clinical Chemistry August 1992 vol. 38 no. 8 1425-1428 » Abstract PDF Services Email this article to a friend Alert me when this article is cited Alert me if a correction is posted Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Download to citation manager Responses No responses published Citing Articles Load citing article information Citing articles via Web of Science Citing articles via Google Scholar Google Scholar Articles by Zweig, M. H. Articles by Reinhart, R. A. Search for related content PubMed PubMed citation Articles by Zweig, M. H. Articles by Reinhart, R. A. Related Content Load related web page information Follow Us Clinical Chemistry Trainee Council Register Today! www.traineecouncil.org Information for Authors Submit a Manuscript Editorial Board Clinical Case Studies Clinical Chemistry Guide to Scientific Writing Journal Club Podcasts Translated Content Annual Meeting Abstracts Permissions and Reprints Advertising Copyright © 2012 by the American Association for Clinical Chemistry

Journal

Clinical ChemistryAmerican Association for Clinical Chemistry

Published: Aug 1, 1992

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