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Optimal group testing with heterogeneous risks

We consider optimal group testing of individuals with heterogeneous risks for an infectious disease. Our algorithm significantly reduces the number of tests needed compared to Dorfman (Ann Math Stat 14(4):436–440, 1943). When both low-risk and high-risk samples have sufficiently low infection probab...

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Detalles Bibliográficos
Autores principales: Bobkova, Nina, Chen, Ying, Eraslan, Hülya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243685/
https://www.ncbi.nlm.nih.gov/pubmed/37360771
http://dx.doi.org/10.1007/s00199-023-01502-3