From: Sample size determination for point-of-care COVID-19 diagnostic tests: a Bayesian approach
(i) | COVID-19 | No COVID-19 | Total |
Positive | \(n_{11}\) | \(n_{12}\) | Â |
Negative | \(n_{21}\) | \(n_{22}\) | Â |
Total | \(n_c\) | \(n_{\bar{c}}\) | \(n_c+n_{\bar{c}}\) |
(ii) | COVID-19 | No COVID-19 | Total |
Positive | \(m_{11}\) | \(m_{12}\) | Â |
Negative | \(m_{21}\) | \(m_{22}\) | Â |
Total | \(m_c\) | \(m_{\bar{c}}\) | \(N_{min}\) |