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| Research article summary (published 13 Jun 2009): |
Generalized ROC curve inference for a biomarker subject to a limit of detection and measurement error.
Full Abstract
The receiver operating characteristic (ROC) curve is a tool commonly used to evaluate biomarker utility in clinical diagnosis of disease, especially during biomarker development research. Emerging biomarkers are often measured with random measurement error and subject to limits of detection that hinder their potential utility or mask an ability to discriminate by negatively biasing the estimates of ROC curves and subsequent area under the curve. Methods have been developed to correct the ROC curve for each of these types of sources of bias but here we develop a method by which the ROC curve is corrected for both simultaneously through replicate measures and maximum likelihood. Our method is evaluated via simulation study and applied to two potential discriminators of women with and without preeclampsia.
Author information
Author/s: Perkins, Neil J (NJ); Schisterman, Enrique F (EF); Vexler, Albert (A);
Affiliation: Division of Epidemiology, Statistics and Prevention Research, National Institute of Child Health and Human Development, National Institutes of Health, DHHS, 6100 Executive BLVD, Rm 7B03, Bethesda, MD 20852, U.S.A. perkinsn(-atsign-)mail.nih.gov
Grants: NIH0011474198 (Agency:PHS HHS) ; Z01 HD008761-05 (Agency:NICHD NIH HHS)
Journal and publication information
Publication Type: Evaluation Studies; Journal Article; Research Support, N.I.H., Intramural
Journal: Statistics in medicine (Stat Med), published in England. (Language: eng)
Reference: 2009-Jun; vol 28 (issue 13) : pp 1841-60
Dates: Created 2009/05/13; Completed 2009/07/01; Revised 2009/10/02;
PMID: 19340817, status: MEDLINE (last retrieval date: 10/5/2009, IMS Date: )
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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