| A statistical approach to assess analytical sensitivity of diagnostic assays in the presence of false-positive results. | |
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MedLine Citation:
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PMID: 18584887 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Analytical sensitivity is one of the performance characteristics of diagnostic tests. As always, a subtle balance has to be found between sensitivity and specificity, but given the clinical setting and the intended use of the diagnostic system, a less than 100% specificity can be perfectly acceptable. Probit analysis is a wide-spread statistical technique used to assess the concentrations corresponding to pre-set hit rates, but this technique assumes a 100% specificity. The current paper describes a statistical procedure, derived from the standard probit technique, to deal with the incidence of false-positive results in the assessment of the analytical sensitivity. |
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Authors:
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Jos J A M Weusten |
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Publication Detail:
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Type: Journal Article Date: 2008-06-26 |
Journal Detail:
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Title: Journal of virological methods Volume: 151 ISSN: 0166-0934 ISO Abbreviation: J. Virol. Methods Publication Date: 2008 Aug |
Date Detail:
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Created Date: 2008-07-14 Completed Date: 2008-11-10 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8005839 Medline TA: J Virol Methods Country: Netherlands |
Other Details:
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Languages: eng Pagination: 308-10 Citation Subset: IM |
Affiliation:
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Department of Biomathematics, bioMérieux BV, P.O. Box 84, 5280 AB Boxtel, The Netherlands. jos.weusten@eu.biomerieux.com |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Diagnostic Errors
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statistics & numerical data* False Positive Reactions* Humans Indicators and Reagents Models, Theoretical Sensitivity and Specificity |
| Chemical | |
Reg. No./Substance:
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0/Indicators and Reagents |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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