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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...
Autores principales: | Bobkova, Nina, Chen, Ying, Eraslan, Hülya |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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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 |
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