Selected article for: "characteristic curve and interquartile range"
Author: Xiaomin Luo; Wei Zhou; Xiaojie Yan; Tangxi Guo; Benchao Wang; Hongxia Xia; Lu Ye; Jun Xiong; Zongping Jiang; Yu Liu; Bicheng Zhang; Weize Yang
Title: Prognostic value of C-reactive protein in patients with COVID-19
  • Document date: 2020_3_23
    • ID: m76ic66s_12
    Snippet: Categorical variables were presented as number (%) and compared by Chi-squared test. Normal distribution of continuous variables was evaluated by the Kolmogorov-Smirnov test. Normally or non-normally distributed continuous parameters were described as mean (standard deviation, SD) or as median (interquartile range, IQR), and were compared by independent t test or Mann-Whitney test, respectively. Multivariate logistical regression was conducted to.....
    Document: Categorical variables were presented as number (%) and compared by Chi-squared test. Normal distribution of continuous variables was evaluated by the Kolmogorov-Smirnov test. Normally or non-normally distributed continuous parameters were described as mean (standard deviation, SD) or as median (interquartile range, IQR), and were compared by independent t test or Mann-Whitney test, respectively. Multivariate logistical regression was conducted to identify independent risk factors of study endpoints. The accuracy of each independent predictor was determined by each area under the receiver operating characteristic (ROC) curve (AUC

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