Accounting for misclassification bias of binary outcomes due to underscreening: a sensitivity analysis

BACKGROUND: Diagnostic tests are performed in a subset of the population who are at higher risk, resulting in undiagnosed cases among those who do not receive the test. This poses a challenge for estimating the prevalence of the disease in the study population, and also for studying the risk factors...

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Detalles Bibliográficos
Autores principales: Zhang, Nanhua, Cheng, Si, Ambroggio, Lilliam, Florin, Todd A., Macaluso, Maurizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727965/
https://www.ncbi.nlm.nih.gov/pubmed/29233110
http://dx.doi.org/10.1186/s12874-017-0447-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727965/
https://www.ncbi.nlm.nih.gov/pubmed/29233110
http://dx.doi.org/10.1186/s12874-017-0447-9

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