Selected article for: "Chi square test and statistical significance"
Author: Shen Xu; Lin Fu; Jun Fei; Hui-Xian Xiang; Ying Xiang; Zhu-Xia Tan; Meng-Die Li; Fang-Fang Liu; Ying Li; Ming-Feng Han; Xiu-Yong Li; De-Xin Yu; Hui Zhao; De-Xiang Xu
Title: Acute kidney injury at early stage as a negative prognostic indicator of patients with COVID-19: a hospital-based retrospective analysis
  • Document date: 2020_3_26
    • ID: b4ay5vyp_12
    Snippet: All statistical analyses were performed using SPSS 22.0 software. Categorical variables were expressed with frequencies and percentages. Continuous variables were shown using median and mean values. Means for continuous variables were compared with independent-samples t tests when the data were normally distributed; if not, the Mann-Whitney test was used. Proportions for categorical variables were compared with the chi-square and Fisher's exact t.....
    Document: All statistical analyses were performed using SPSS 22.0 software. Categorical variables were expressed with frequencies and percentages. Continuous variables were shown using median and mean values. Means for continuous variables were compared with independent-samples t tests when the data were normally distributed; if not, the Mann-Whitney test was used. Proportions for categorical variables were compared with the chi-square and Fisher's exact test. Univariable logistic regression between basic disease or different parameter and demise was performed. Moreover, the main risks related with demise were examined using multivariable logistic regression models adjusted for potential confounders. Statistical significance was determined at P＜0.05.

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