Selected article for: "Log rank and statistical analysis"
Author: He, Chaobin; Wang, Jun; Sun, Shuxin; Zhang, Yu; Li, Shengping
Title: Immunomodulatory Effect after Irreversible Electroporation in Patients with Locally Advanced Pancreatic Cancer
  • Document date: 2019_5_12
    • ID: 1pbzbydu_13
    Snippet: . . Statistical Analysis. Continuous variables were compared using an independent sample t-test and the Mann-Whitney U test. Binary categorical variables were compared using the chi-square test. OS and PFS curves were analyzed using the Kaplan-Meier method, and differences between the groups were identified using the log-rank test. Univariate analysis was performed to assess the significance of parameters. Multivariate analysis was performed usin.....
    Document: . . Statistical Analysis. Continuous variables were compared using an independent sample t-test and the Mann-Whitney U test. Binary categorical variables were compared using the chi-square test. OS and PFS curves were analyzed using the Kaplan-Meier method, and differences between the groups were identified using the log-rank test. Univariate analysis was performed to assess the significance of parameters. Multivariate analysis was performed using the Cox regression model for the variables that were found to be significant in the univariate analysis, and the corresponding 95% confidence intervals (CIs) were calculated. ROC curves and C-indexes were used to compare the survival predictive ability. Twotailed P values < 0.05 were considered statistically significant. All statistical analyses were performed using the R statistical package (R software version 3.4.2; R Foundation for Statistical Computing, Vienna, Austria).

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