Optimal decision theory for diagnostic testing: Minimizing indeterminate classes with applications to saliva-based SARS-CoV-2 antibody assays

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In diagnostic testing, establishing an indeterminate class is an effective way to identify samples that cannot be accurately classified. However, such approaches also make testing less efficient and must be balanced against overall assay performance. We address this problem by reformulating data cla...

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Detalles Bibliográficos
Autores principales: Patrone, Paul N., Bedekar, Prajakta, Pisanic, Nora, Manabe, Yukari C., Thomas, David L., Heaney, Christopher D., Kearsley, Anthony J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Elsevier 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195412/
https://www.ncbi.nlm.nih.gov/pubmed/35714754
http://dx.doi.org/10.1016/j.mbs.2022.108858

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195412/
https://www.ncbi.nlm.nih.gov/pubmed/35714754
http://dx.doi.org/10.1016/j.mbs.2022.108858

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