Selected article for: "average number and initial number"
Author: Haran Shani-Narkiss; Omri David Gilday; Nadav Yayon; Itamar Daniel Landau
Title: Efficient and Practical Sample Pooling High-Throughput PCR Diagnosis of COVID-19
  • Document date: 2020_4_7
    • ID: 6ji8dkkz_34
    Snippet: We find for example, that for p=0.01, the optimal initial batch size is b=10, and the average number of tests required to check N samples is about 5 ⁄ . Meanwhile for p=0.001, the optimal initial batch size is b=32 and the average number of tests required to check N samples is about 16 ⁄ . (Figure 1 and Table 1 ).....
    Document: We find for example, that for p=0.01, the optimal initial batch size is b=10, and the average number of tests required to check N samples is about 5 ⁄ . Meanwhile for p=0.001, the optimal initial batch size is b=32 and the average number of tests required to check N samples is about 16 ⁄ . (Figure 1 and Table 1 )

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