Selected article for: "mean sd standard deviation and statistical software"

Author: meizhu chen; changli tu; Cuiyan Tan; Xiaobin Zheng; xiaohua wang; jian wu; Yiying Huang; zhenguo wang; yan yan; zhonghe li; hong shan; Jing Liu; jin huang
Title: Key to successful treatment of COVID-19: accurate identification of severe risks and early intervention of disease progression
  • Document date: 2020_4_11
  • ID: 97gawzw4_10
    Snippet: Categorical variables were described as frequency rates and percentages, and continuous variables were described using mean (±SD, standard deviation), median and interquartilerange (IQR) values. Means for continuous variables were compared using independent group t tests and one way ANVOA when the data were normally distributed and homoscedasticity; otherwise ,the Mann-Whitney U test and Kruskal-Wallis H were used when the data were nonnormal di.....
    Document: Categorical variables were described as frequency rates and percentages, and continuous variables were described using mean (±SD, standard deviation), median and interquartilerange (IQR) values. Means for continuous variables were compared using independent group t tests and one way ANVOA when the data were normally distributed and homoscedasticity; otherwise ,the Mann-Whitney U test and Kruskal-Wallis H were used when the data were nonnormal distribution. Proportions for categorical variables were compared using the chi-squared test, although the Fisher exact test was used when the data were limited. All Statistical analysis was performed using SPSS software (Version 26.0, IBM). For unadjusted comparisons, a two-sided P<0.05 was considered statistically significant.

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