A Bayesian method for synthesizing multiple diagnostic outcomes of COVID-19 tests

The novel coronavirus disease 2019 (COVID-19) has spread worldwide and threatened human life. Diagnosis is crucial to contain the spread of SARS-CoV-2 infections and save lives. Diagnostic tests for COVID-19 have varying sensitivity and specificity, and the false-negative results would have substant...

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Detalles Bibliográficos
Autores principales: Cao, Lirong, Zhao, Shi, Li, Qi, Ling, Lowell, Wu, William K. K., Zhang, Lin, Lou, Jingzhi, Chong, Marc K. C., Chen, Zigui, Wong, Eliza L. Y., Zee, Benny C. Y., Chan, Matthew T. V., Chan, Paul K. S., Wang, Maggie H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Mathematics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441124/
https://www.ncbi.nlm.nih.gov/pubmed/34540238
http://dx.doi.org/10.1098/rsos.201867

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441124/
https://www.ncbi.nlm.nih.gov/pubmed/34540238
http://dx.doi.org/10.1098/rsos.201867

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