Spss statistic ver 24

All data were analyzed with IBM SPSS Statistic ver. 24.0 software (IBM Co., Armonk, NY, USA). Baseline characteristics of the two main study groups (A and B-ext) were compared. Categorical variables were analyzed with the chi-square or Fisher’s exact test, where appropriate. The Kolmogorov-Smirnov test did not show a normal distribution for most continuous variables, prompting reporting of medians (interquartile range) and use of the non-parametric Mann-Whitney test to compare the two groups. Related samples Friedman’s two-way analysis of variance was used to assess the change in the number of symptoms over time. RTE and VTE rates were calculated with the Kaplan-Meier method and compared with the Log-rank (Mantel-Cox) test. Multivariate survival analysis was performed with Cox regression. A P-value less than 0.05 was considered as statistically significant. Because no events occurred in group Bext, analysis of predictors for RTEs was restricted to group A.

We compared the study variables of the PREPARE and the non-PREPARE groups. Continuous variables were presented as median values (interquartile range) and compared by Mann-Whitney test. Nominal data were calculated as percentages based on the frequency of occurrence and compared using chi-square or Fisher exact test, as appropriate. Multivariate logistic regression was used to correlate single variables with adequate D1-to-B time. The resulting odds ratios (ORs) were presented with 95% confidence intervals (CIs). A two-sided P-value less than 0.05 was considered statistically significant. Analysis was performed using IBM SPSS Statistic ver. 24.0 (IBM Corp., Armonk, NY, USA).