Selected article for: "exact test and Kaplan Meier method estimate"

Author: Wen Zhao; Shikai Yu; Xiangyi Zha; Ning Wang; Qiumei Pang; Tongzeng Li; Aixin Li
Title: Clinical characteristics and durations of hospitalized patients with COVID-19 in Beijing: a retrospective cohort study
  • Document date: 2020_3_17
  • ID: n0uwy77g_8
    Snippet: Continuous variables were expressed as means ± standard deviations (SD) for the normally distributed data or median with interquartile (IQR) for the skewed data. Correspondingly, two-sample independent t-test and Mann-Whitney U test were used to detect the difference between groups. Categorical variables were described as number (%) and compared by χ ² test or Fisher's exact test as appropriate. Kaplan-Meier method was used to estimate the cum.....
    Document: Continuous variables were expressed as means ± standard deviations (SD) for the normally distributed data or median with interquartile (IQR) for the skewed data. Correspondingly, two-sample independent t-test and Mann-Whitney U test were used to detect the difference between groups. Categorical variables were described as number (%) and compared by χ ² test or Fisher's exact test as appropriate. Kaplan-Meier method was used to estimate the cumulative probability of the endpoint. Cox proportional-hazards regression model was conducted to determine the potential risk factors associated with the endpoint. Statistical significance was defined as P<0.05. All analyses were done with SAS software, version 9.4.

    Search related documents:
    Co phrase search for related documents