Selected article for: "chi square test and normal distribution"
Author: Mingzhu Yin; Lijuan Zhang; Guangtong Deng; Chaofei Han; Minxue Shen; Hongyin Sun; Furong Zeng; Wei Zhang; Lan Chen; Qingqing Luo; Dujuan Yao; Min Wu; Shihuan Yu; Hui Chen; David Baud; Xiang Chen
Title: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection During Pregnancy In China: A Retrospective Cohort Study
  • Document date: 2020_4_11
    • ID: 6wolrfvk_17
    Snippet: Continuous variables with normal distribution were expressed as mean ± standard deviation (SD) and compared with analysis of variance (ANOVA). Continuous data with skewed distribution were presented as median (interquartile range, IQR) and compared with Wilcoxon rank sum test. Categorical variables were summarized as counts (percentages) and compared using the chi-square test or Fisher's exact test. Missing data was not imputed, and was indicate.....
    Document: Continuous variables with normal distribution were expressed as mean ± standard deviation (SD) and compared with analysis of variance (ANOVA). Continuous data with skewed distribution were presented as median (interquartile range, IQR) and compared with Wilcoxon rank sum test. Categorical variables were summarized as counts (percentages) and compared using the chi-square test or Fisher's exact test. Missing data was not imputed, and was indicated in tables. Subgroup analysis was conducted by gestational period. All the analyses were performed with SPSS software, version 23. P value less than 0.05 was considered statistically significant.

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