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Optimizing Pooled Testing for Estimating the Prevalence of Multiple Diseases
Pooled testing can enhance the efficiency of diagnosing individuals with diseases of low prevalence. Often, pooling is implemented using standard groupings (2, 5, 10, etc.). On the other hand, optimization theory can provide specific guidelines in finding the ideal pool size and pooling strategy. Th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373899/ https://www.ncbi.nlm.nih.gov/pubmed/35975123 http://dx.doi.org/10.1007/s13253-022-00511-4 |