Selected article for: "chi squared test and standard deviation"
Author: Yuan Zhang; Rong Chen; Jie Wang; Yuan Gong; Qin Zhou; Hui-hui Cheng; Zhong-yuan Xia; Xiangdong Chen; Qing-tao Meng; Daqing Ma
Title: Anaesthetic managment and clinical outcomes of parturients with COVID-19: a multicentre, retrospective, propensity score matched cohort study
  • Document date: 2020_3_27
    • ID: bntjg90x_10
    Snippet: All categorical variables were expressed as number, and all quantitative data were expressed as mean ± standard deviation. Propensity score matching was implemented with Stata 15. Then the matched data were statistically analyzed using Graphpad 8.0.1 (GraphPad Software, San Diego, USA). The two-tailed t test was done for continuous variables and Chi-squared test (or Fisher's exact test) for categorical variables. A p value less than 0.05 was con.....
    Document: All categorical variables were expressed as number, and all quantitative data were expressed as mean ± standard deviation. Propensity score matching was implemented with Stata 15. Then the matched data were statistically analyzed using Graphpad 8.0.1 (GraphPad Software, San Diego, USA). The two-tailed t test was done for continuous variables and Chi-squared test (or Fisher's exact test) for categorical variables. A p value less than 0.05 was considered to be statistically significant.

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