Selected article for: "correlation coefficient and rank correlation coefficient"
Author: Xu-wei Hong; Ze-pai Chi; Guo-yuan Liu; Hong Huang; Shun-qi Guo; Jing-ru Fan; Xian-wei Lin; Liao-zhun Qu; Rui-lie Chen; Ling-jie Wu; Liang-yu Wang; Qi-chuan Zhang; Su-wu Wu; Ze-qun Pan; Hao Lin; Yu-hua Zhou; Yong-hai Zhang
Title: Analysis of early renal injury in COVID-19 and diagnostic value of multi-index combined detection
  • Document date: 2020_3_10
    • ID: f3indt3b_9
    Snippet: The area under curves (AUC) of receiver operating characteristic (ROC) were calculated for predictive analysis. Spearman rank correlation coefficient was used to analyze the linear correlation between two sets of continuous variables. It was considered statistically significant when the P value was less than 0.05. All statistical analyses were processed using SPSS 25.0 statistical software......
    Document: The area under curves (AUC) of receiver operating characteristic (ROC) were calculated for predictive analysis. Spearman rank correlation coefficient was used to analyze the linear correlation between two sets of continuous variables. It was considered statistically significant when the P value was less than 0.05. All statistical analyses were processed using SPSS 25.0 statistical software.

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