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Statistical methods to correct for verification bias in diagnostic studies are inadequate when there are few false negatives: a simulation study
BACKGROUND: A common feature of diagnostic research is that results for a diagnostic gold standard are available primarily for patients who are positive for the test under investigation. Data from such studies are subject to what has been termed "verification bias". We evaluated statistica...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2008
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2600821/ https://ncbi.nlm.nih.gov/pubmed/19014457 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2288-8-75 |
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