Selected article for: "Pearson correlation and statistical analysis"
Author: Gil Caspi; Uri Shalit; Soren Lund Kristensen; Doron Aronson; Lilac Caspi; Oran Rossenberg; Avi Shina; Oren Caspi
Title: Climate effect on COVID-19 spread rate: an online surveillance tool
  • Document date: 2020_3_30
    • ID: mdyojac2_17
    Snippet: Continuous variables are reported as mean ± SEM. Group differences in continuous variables were tested using the Student t-test. Correlation between weather parameters was conducted using Pearson and Spearman correlation were calculated according to data distribution. A value of P<0.05 was considered statistically significant. Statistical analysis was conducted using GraphPad Prism 6 and R studio gplot2 package......
    Document: Continuous variables are reported as mean ± SEM. Group differences in continuous variables were tested using the Student t-test. Correlation between weather parameters was conducted using Pearson and Spearman correlation were calculated according to data distribution. A value of P<0.05 was considered statistically significant. Statistical analysis was conducted using GraphPad Prism 6 and R studio gplot2 package.

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