Selected article for: "confidence interval and empirical distribution"

Author: Yoshiyuki Sugishita; Junko Kurita; Tamie Sugawara; Yasushi Ohkusa
Title: Forecast of the COVID-19 outbreak, collapse of medical facilities, and lockdown effects in Tokyo, Japan
  • Document date: 2020_4_6
  • ID: 86ovj7xg_11
    Snippet: We sought to ascertain R 0 to fit the number of patients during 14 January -28 March and to minimize the sum of squared residuals among the reported numbers and the fitted values. Its 95% confidence interval (CI) was calculated using 10,000 iterations of bootstrapping for the empirical distribution of epidemic curves......
    Document: We sought to ascertain R 0 to fit the number of patients during 14 January -28 March and to minimize the sum of squared residuals among the reported numbers and the fitted values. Its 95% confidence interval (CI) was calculated using 10,000 iterations of bootstrapping for the empirical distribution of epidemic curves.

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