Spss statistical package for windows version 22

We used the chi square test to compare categorical variables, and Student’s t test to compare continuous variables. Propensity score was performed to match analysis including age, gender and underlying comorbidities to minimize potential confounding effects. The Cox regression model was used to identify the risk factors associated with mortality. The survival analysis was analyzed by the Kaplan–Meier method with the log‑rank test for univariate analysis and the proportional hazards Cox regression model for multivariate analysis. Statistical significance was defined P < 0.05. All Data were analyzed by the SPSS statistical package for Windows version 22.0 (IBM Corp., Armonk, NY).

Standard parametric and non-parametric tests were used to compare baseline characteristics of participants who died from cancer, those who died from other causes, and survivors. To assess the magnitude of the effect, Cohen's d (d) was used for continuous variables and Cramer's V (V) for categorical ones. We estimated mortality rates using the person-years method, and 95% confidence intervals (CIs) for mortality rates were calculated assuming a Poisson distribution for the number of deceased subjects. Cancer mortality Kaplan–Meier survival curves and Breslow tests (predominance of events at early follow-up) were computed for both SDS and C-EDS. The association between depressive symptoms phenotypes and mortality from cancer and other causes was assessed using a Cox Proportional-Hazard model stratified by sex. The model was controlled by statistically significant variables identified in the bivariate analyses.
The results are expressed as absolute numbers and percentages, mean or median, standard deviation (SD) or interquartile range (IQR), effect size measures, hazard ratios, and 95% CIs. All statistical analyses were conducted using the IBM SPSS Statistical package for Windows version 22.0, and we employed an alpha level for statistical significance of 0.05 (two-tailed).

All data are reported as the mean ± SD for continuous variables and as the number of subjects (%) for categorical variables. Measurement data of skewness distribution are represented by Median (Q1, Q3). Independent sample t-tests were used to analyze differences between the two groups. Paired T-tests or Wilcoxon rank sum tests were used for comparisons of pre- and post-ablation measures. Categorical variables were compared using Pearson χ2 analysis. A two-sided p value < 0.05 indicated statistical significance. Data were analyzed using the SPSS statistical package for Windows, version 22.0 (IBM Corp., Armonk, NY, USA).