Spss statistics v 22.0 for mac

The descriptive analysis involved estimating proportions for discrete variables and means with their 95% CIs or medians with interquartile ranges for continuous variables. In the univariable analysis, comparisons between groups for categorical variables were conducted using the chi-square test or Fisher’s exact test. For continuous variables, either the independent samples t-test was used for normally distributed data or non-parametric tests (Mann–Whitney U test or median test) were employed when normality assumptions were not met. The normality assumption was assessed using the Kolmogorov-Smirnov test or Shapiro–Wilk test. Survival analysis was performed using the Kaplan-Meier method to assess the probability and risk of TR. Differences in survival curves were then evaluated using the log-rank test. Additionally, we conducted Cox regression analysis to estimate hazard ratios and 95% confidence intervals for the predictors of TR. The forward conditional method was used, introducing related variables in univariable analysis (p < 0.1). Statistical significance was considered for values of p < 0.05. The statistical analysis was performed using IBM SPSS Statistics v22.0 for Mac (IBM Corp., Armonk, NY, USA).