Document Detail


From differences in means between cases and controls to risk stratification: a business plan for biomarker development.
MedLine Citation:
PMID:  23299199     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
SIGNIFICANCE: Many efforts go into futile biomarker development and premature clinical testing. In many instances, predictions for translational success or failure can be made early, simply based on critical analysis of case–control data. Our article presents well-established theory in a form that can be appreciated by biomarker researchers. Furthermore, we provide an interactive spreadsheet that links biomarker performance with specific disease characteristics to evaluate the promise of biomarker candidates at an early stage.
Authors:
Nicolas Wentzensen; Sholom Wacholder
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Intramural; Review     Date:  2013-01-08
Journal Detail:
Title:  Cancer discovery     Volume:  3     ISSN:  2159-8290     ISO Abbreviation:  Cancer Discov     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-02-12     Completed Date:  2013-08-20     Revised Date:  2014-02-04    
Medline Journal Info:
Nlm Unique ID:  101561693     Medline TA:  Cancer Discov     Country:  United States    
Other Details:
Languages:  eng     Pagination:  148-57     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Biomedical Research / methods
Early Diagnosis
Humans
Neoplasms / diagnosis*,  prevention & control*
ROC Curve
Reproducibility of Results
Research Design*
Risk Assessment / methods
Risk Factors
Tumor Markers, Biological / analysis*
Grant Support
ID/Acronym/Agency:
ZIA CP010124-16/CP/NCI NIH HHS; ZIA CP010124-17/CP/NCI NIH HHS; ZIA CP010181-08/CP/NCI NIH HHS; ZIA CP010181-09/CP/NCI NIH HHS; ZIA CP010181-10/CP/NCI NIH HHS
Chemical
Reg. No./Substance:
0/Tumor Markers, Biological
Comments/Corrections

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