Selected article for: "confidence interval and empirical distribution"

Author: Junko Kurita; Yoshiyuki Sugishita; Tamie Sugawara; Yasushi Ohkusa
Title: Estimation of protection for COVID-19 in children from epidemiological information and estimate effect of policy in Japan
  • Document date: 2020_3_30
  • ID: c5p0yp04_11
    Snippet: We presumed some fraction of children were immune. No information about it was available ex ante: we searched it in the range of (0,1). Simultaneously, we sought R 0 to fit the number of patients during 14 January -17 March and to minimize the sum of absolute values of discrepancies among the reported numbers and the fitted values. Its 95% confidence interval (CI) was calculated using 10,000 iterations of bootstrapping for empirical distribution......
    Document: We presumed some fraction of children were immune. No information about it was available ex ante: we searched it in the range of (0,1). Simultaneously, we sought R 0 to fit the number of patients during 14 January -17 March and to minimize the sum of absolute values of discrepancies among the reported numbers and the fitted values. Its 95% confidence interval (CI) was calculated using 10,000 iterations of bootstrapping for empirical distribution.

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