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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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Bibliografski detalji
Glavni autori: Zhang, Zhiwei, Liu, Chunling, Kim, Sungduk, Liu, Aiyi
Format: Artigo
Jezik:Inglês
Izdano: 2014
Teme:
Online pristup: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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