Selected article for: "exact test and Kolmogorov Smirnov test"

Author: Yongyu Liu; Lijun Bi; Yu Chen; Yaguo Wang; Joy Fleming; Yanhong Yu; Ye Gu; Chang Liu; Lichao Fan; Xiaodan Wang; Moxin Cheng
Title: Active or latent tuberculosis increases susceptibility to COVID-19 and disease severity
  • Document date: 2020_3_16
  • ID: ffm5fww3_11
    Snippet: Analyses were performed using R (version 3.6.1). The normality of data distributions was assessed using the Kolmogorov-Smirnov test. Normally-distributed data are presented as means (SD), while non-normally distributed data are presented as medians (IQR), and categorical variables as frequencies (%). Differences between groups were analysed by Fisher's exact test or Pearson's chisquared test (for categorical data), and Students' t-tests or Mann-W.....
    Document: Analyses were performed using R (version 3.6.1). The normality of data distributions was assessed using the Kolmogorov-Smirnov test. Normally-distributed data are presented as means (SD), while non-normally distributed data are presented as medians (IQR), and categorical variables as frequencies (%). Differences between groups were analysed by Fisher's exact test or Pearson's chisquared test (for categorical data), and Students' t-tests or Mann-Whitney tests (for continuous data).

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