Selected article for: "confidence interval and correlation coefficient"

Author: Debashree Ray; Maxwell Salvatore; Rupam Bhattacharyya; Lili Wang; Shariq Mohammed; Soumik Purkayastha; Aritra Halder; Alexander Rix; Daniel Barker; Michael Kleinsasser; Yiwang Zhou; Peter Song; Debraj Bose; Mousumi Banerjee; Veerabhadran Baladandayuthapani; Parikshit Ghosh; Bhramar Mukherjee
Title: Predictions, role of interventions and effects of a historic national lockdown in India's response to the COVID-19 pandemic: data science call to arms
  • Document date: 2020_4_18
  • ID: 3a3c8ee1_40
    Snippet: The estimates and the 95% confidence interval for the correlation coefficient for January was -0.185 [-0.548, 0.236] with 24 countries having non-zero incidence, for February was -0.110 [-0.362, 0.157] with 56 countries having non-zero incidence, and for March was -0.173 [-0.314, -0.026] with 175 countries having non-zero incidence. Although the estimates were negative, the 95% confidence intervals either include zero or the upper limit is close .....
    Document: The estimates and the 95% confidence interval for the correlation coefficient for January was -0.185 [-0.548, 0.236] with 24 countries having non-zero incidence, for February was -0.110 [-0.362, 0.157] with 56 countries having non-zero incidence, and for March was -0.173 [-0.314, -0.026] with 175 countries having non-zero incidence. Although the estimates were negative, the 95% confidence intervals either include zero or the upper limit is close to 0, indicating weak evidence for any claim of negative association between case counts and daily temperature. Any such affirmation will require further data and investigation that accounts for many possible sources of confounding.

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