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Prevalence estimation subject to misclassification: the mis-substitution bias and some remedies
We consider the problem of estimating the prevalence of a disease under a group testing framework. Because assays are usually imperfect, misclassification of disease status is a major challenge in prevalence estimation. To account for possible misclassification, it is usually assumed that the sensit...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4184986/ https://ncbi.nlm.nih.gov/pubmed/25043925 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6268 |
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