Selected article for: "chi square test and correlation test"
Author: Yonghao Xu; Zhiheng Xu; Xuesong Liu; Lihua Cai; Haichong Zheng; Yongbo Huang; Lixin Zhou; Linxi Huang; Yun Lin; Liehua Deng; Jianwei Li; Sibei Chen; Dongdong Liu; Zhimin Lin; Liang Zhou; Weiqun He; Xiaoqing Liu; Yimin Li
Title: Clinical findings in critical ill patients infected with SARS-Cov-2 in Guangdong Province, China: a multi-center, retrospective, observational study
  • Document date: 2020_3_6
    • ID: 9ecuca17_12
    Snippet: The differences were assessed between intubated and non-intubated patients with two-sample t test or Wilcoxon rank-sum test depending on parametric or nonparametric data for continuous variables and Chi-square test for categorical variables. Spearman correlation coefficient was used to test the correlations between clinical variables. All analyses were performed using SPSS 23.0 (SPSS Inc., Chicago, IL, USA). A P value < 0.05 (two-sided) was consi.....
    Document: The differences were assessed between intubated and non-intubated patients with two-sample t test or Wilcoxon rank-sum test depending on parametric or nonparametric data for continuous variables and Chi-square test for categorical variables. Spearman correlation coefficient was used to test the correlations between clinical variables. All analyses were performed using SPSS 23.0 (SPSS Inc., Chicago, IL, USA). A P value < 0.05 (two-sided) was considered statistically significant.

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