Selected article for: "abnormally normally and logistic regression analysis multivariate"
Author: Jin, Xi; Lian, Jiang-Shan; Hu, Jian-Hua; Gao, Jianguo; Zheng, Lin; Zhang, Yi-Min; Hao, Shao-Rui; Jia, Hong-Yu; Cai, Huan; Zhang, Xiao-Li; Yu, Guo-Dong; Xu, Kai-Jin; Wang, Xiao-Yan; Gu, Jue-Qing; Zhang, Shan-Yan; Ye, Chan-Yuan; Jin, Ci-Liang; Lu, Ying-Feng; Yu, Xia; Yu, Xiao-Peng; Huang, Jian-Rong; Xu, Kang-Li; Ni, Qin; Yu, Cheng-Bo; Zhu, Biao; Li, Yong-Tao; Liu, Jun; Zhao, Hong; Zhang, Xuan; Yu, Liang; Guo, Yong-Zheng; Su, Jun-Wei; Tao, Jing-Jing; Lang, Guan-Jing; Wu, Xiao-Xin; Wu, Wen-Rui; Qv, Ting-Ting; Xiang, Dai-Rong; Yi, Ping; Shi, Ding; Chen, Yanfei; Ren, Yue; Qiu, Yun-Qing; Li, Lan-Juan; Sheng, Jifang; Yang, Yida
Title: Epidemiological, clinical and virological characteristics of 74 cases of coronavirus-infected disease 2019 (COVID-19) with gastrointestinal symptoms
  • Document date: 2020_3_24
    • ID: zph6r4il_19
    Snippet: For continuous variables, mean (SD) and median (IQR) were used for normally and abnormally distributed data, followed by unpaired t-test and non-parametric test when appropriate. Categorical variables were expressed as number (%) and compared using the χ 2 test. Univariate logistic regression analysis was used to identify the risk factors of severe/critical type patients. All significant variables achieved from univariate analysis were included .....
    Document: For continuous variables, mean (SD) and median (IQR) were used for normally and abnormally distributed data, followed by unpaired t-test and non-parametric test when appropriate. Categorical variables were expressed as number (%) and compared using the χ 2 test. Univariate logistic regression analysis was used to identify the risk factors of severe/critical type patients. All significant variables achieved from univariate analysis were included in a multivariate logistic regression model with the forward method to identify independent predictors of the severe/ critical type. No adjustment for multiple testing was performed. A two-sided α of <0.05 was considered statistically significant and SPSS (V.26.0) was used for all analyses.

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