Document Detail

The optimal ratio of cases to controls for estimating the classification accuracy of a biomarker.
MedLine Citation:
PMID:  16428259     Owner:  NLM     Status:  MEDLINE    
The case-control design is frequently used to study the discriminatory accuracy of a screening or diagnostic biomarker. Yet, the appropriate ratio in which to sample cases and controls has never been determined. It is common for researchers to sample equal numbers of cases and controls, a strategy that can be optimal for studies of association. However, considerations are quite different when the biomarker is to be used for classification. In this paper, we provide an expression for the optimal case-control ratio, when the accuracy of the biomarker is quantified by the receiver operating characteristic (ROC) curve. We show how it can be integrated with choosing the overall sample size to yield an efficient study design with specified power and type-I error. We also derive the optimal case-control ratios for estimating the area under the ROC curve and the area under part of the ROC curve. Our methods are applied to a study of a new marker for adenocarcinoma in patients with Barrett's esophagus.
Holly Janes; Margaret Pepe
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2006-01-20
Journal Detail:
Title:  Biostatistics (Oxford, England)     Volume:  7     ISSN:  1465-4644     ISO Abbreviation:  Biostatistics     Publication Date:  2006 Jul 
Date Detail:
Created Date:  2006-06-21     Completed Date:  2006-08-18     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  100897327     Medline TA:  Biostatistics     Country:  England    
Other Details:
Languages:  eng     Pagination:  456-68     Citation Subset:  IM    
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205, USA.
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MeSH Terms
Adenocarcinoma / diagnosis,  etiology
Area Under Curve
Barrett Esophagus / complications
Biological Markers / analysis*
Case-Control Studies*
Data Interpretation, Statistical
Esophageal Neoplasms / etiology
ROC Curve*
Sensitivity and Specificity
Grant Support
Reg. No./Substance:
0/Biological Markers

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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