Selected article for: "exact test and Kruskal Wallis test"
Author: Xu Chen; Fang Zheng; Yanhua Qing; Shuizi Ding; Danhui Yang; Cheng Lei; Zhilan Yin; Xianglin Zhou; Dixuan Jiang; Qi Zuo; Jun He; Jianlei Lv; Ping Chen; Yan Chen; Hong Peng; Honghui Li; Yuanlin Xie; Jiyang Liu; Zhiguo Zhou; Hong Luo
Title: Epidemiological and clinical features of 291 cases with coronavirus disease 2019 in areas adjacent to Hubei, China: a double-center observational study
  • Document date: 2020_3_6
    • ID: 5ciaonf0_9
    Snippet: Continuous variables were described as medians and interquartile ranges (IQR). Categorical variables were summarized as counts and percentages. We categorized those four clinical types to three groups as mild group, moderate group and severe/critical group for further statistical analysis. Differences observed among all the three groups were analyzed by Chi-squared test or Fisher exact test for categorical data, one-way ANOVA or non-parametric Kr.....
    Document: Continuous variables were described as medians and interquartile ranges (IQR). Categorical variables were summarized as counts and percentages. We categorized those four clinical types to three groups as mild group, moderate group and severe/critical group for further statistical analysis. Differences observed among all the three groups were analyzed by Chi-squared test or Fisher exact test for categorical data, one-way ANOVA or non-parametric Kruskal-Wallis test for quantitative data, as appropriate. Two-tailed p < 0.05 was thought as having significantly difference between three groups.

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