Selected article for: "confusion matrix and sensitivity specificity"

Author: Nicholas Gray; Dominic Calleja; Alex Wimbush; Enrique Miralles-Dolz; Ander Gray; Marco De-Angelis; Elfride Derrer-Merk; Bright Uchenna Oparaji; Vladimir Stepanov; Louis Clearkin; Scott Ferson
Title: No test is better than a bad test"": Impact of diagnostic uncertainty in mass testing on the spread of Covid-19
  • Document date: 2020_4_22
  • ID: 2jwuzfan_10
    Snippet: The statistics that characterise the performance of the test are computed from a confusion matrix (Table 1) . We test n inf ected people who have Covid-19, and n healthy people who do not have Covid-19. In the first group, a people correctly test positive and c falsely test negative. Among healthy people, b will falsely test positive, and d will correctly test negative. From this confusion matrix the sensitivity is given by (1) and the specificit.....
    Document: The statistics that characterise the performance of the test are computed from a confusion matrix (Table 1) . We test n inf ected people who have Covid-19, and n healthy people who do not have Covid-19. In the first group, a people correctly test positive and c falsely test negative. Among healthy people, b will falsely test positive, and d will correctly test negative. From this confusion matrix the sensitivity is given by (1) and the specificity by (2) .

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