Statistic analysis
death
REGRESSION
We used univariate and multivariate analyses. For univariate survival analysis we computed Kaplan-Meyer-curves. In analyses of overall survival (from diagnosis to death), we compared the groups with a log-rank test. Results with a p-value lower than 0.05 were regarded as statistically significant. Patients who were alive at last follow-up were censored. We also performed uni- and multivariate analyses applying Cox proportional hazard models estimating hazard ratios and 95% confidence intervals to screen the efficiency of the major treatment modalities. By building different models, we tried to adjust for the confounders age, gender and Karnofsky performance score and compared all therapy options in one model, adjusted for these confounders. For evaluating the side effects of radiation, we used logistic regression models. The analysis of data was performed with the statistic program SPSS version 26.