Selected article for: "chi square test and interquartile median"
Author: Huayan Xu; Keke Hou; Hong Xu; Zhenlin Li; Huizhu Chen; Na Zhang; Rong Xu; Hang Fu; Ran Sun; Lingyi Wen; Linjun Xie; Hui Liu; Kun Zhang; Joseph B Selvanayagam; Chuan Fu; Shihua Zhao; Zhigang Yang; Ming Yang; Yingkun Guo
Title: Acute Myocardial Injury of Patients with Coronavirus Disease 2019
  • Document date: 2020_3_8
    • ID: jg6v644y_13
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.05.20031591 doi: medRxiv preprint Statistical analysis was performed using SPSS version 21.0 (Armonk, NY; Graphpad version 7.00, San Diego, CA). Data were presented as median (interquartile range; IQR) if non-normally distributed and as mean (standard deviation; SD) if normally distributed. Categorical variables were presented as n (%). K.....
    Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.05.20031591 doi: medRxiv preprint Statistical analysis was performed using SPSS version 21.0 (Armonk, NY; Graphpad version 7.00, San Diego, CA). Data were presented as median (interquartile range; IQR) if non-normally distributed and as mean (standard deviation; SD) if normally distributed. Categorical variables were presented as n (%). Kruskal-Wallis analysis, Chi-square test, and one-way analysis of variance were used for multiple group comparisons according to data characteristics. Bivariate correlation was calculated using Pearson or Spearman method as appropriate to detect the potential risk factors for AMI. In all analyses, two-tailed p-values of <0.05 were considered significant.

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