Selected article for: "average distance and hierarchical clustering"

Author: Hongzhou Lu; Jingwen Ai; Yinzhong Shen; Yang Li; Tao Li; Xian Zhou; Haocheng Zhang; Qiran Zhang; Yun Ling; Sheng Wang; Hongping Qu; Yuan Gao; Yingchuan Li; Kanglong Yu; Duming Zhu; Hecheng Zhu; Rui Tian; Mei Zeng; Qiang Li; Yuanlin Song; Xiangyang Li; Jinfu Xu; Jie Xu; Enqiang Mao; Bijie Hu; Xin Li; Lei Zhu; Wenhong Zhang
Title: A descriptive study of the impact of diseases control and prevention on the epidemics dynamics and clinical features of SARS-CoV-2 outbreak in Shanghai, lessons learned for metropolis epidemics prevention
  • Document date: 2020_2_23
  • ID: dbzrd23n_18
    Snippet: Means for continuous variables were compared using independent group t-tests when the 147 data were normally distributed; otherwise, the Mann-Whitney test was used. For 148 comparisons, a 2-sided α of less than 0.05 was considered statistically significant. Results 149 of laboratory tests were also standardized and arranged by unsupervised hierarchical 150 clustering to identify the similarities, differences and characteristics, with Euclidean 1.....
    Document: Means for continuous variables were compared using independent group t-tests when the 147 data were normally distributed; otherwise, the Mann-Whitney test was used. For 148 comparisons, a 2-sided α of less than 0.05 was considered statistically significant. Results 149 of laboratory tests were also standardized and arranged by unsupervised hierarchical 150 clustering to identify the similarities, differences and characteristics, with Euclidean 151 distance measure and average linkage between groups methods. Statistical analyses were

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