Spss version 19.0 statistical

The SPSS version 19.0 statistical software package was used for data analysis. Measurement data, including the VAS and QuickDASH scores, grip strength, and wrist mobility, were evaluated based on the ROM. Preoperative and postoperative data were compared using the paired t-test; p < .05 was considered statistically significant. All data have been presented as means with standard deviation.

Hardy-Weinberg equilibrium (HWE) assumption was calculated by Chi-squared test for each SNP. The association between clinical and molecular variables was analyzed by crosstabs and Pearson’s chi-squared tests (χ2), while odds ratio (OR) and 95% confident intervals were calculated by logistic regression analyses. OS and PFS-related endpoints were estimated using the Kaplan-Meier method. To evaluate the effect of each SNP for each OS endpoint, Cox’s proportional hazards (PH) regression was used, adjusted by Ki67 index. Cytokines and serum biomarkers were treated as time-dependent variables [36 (link)]. Fisher’s exact test was applied to compare categorical variables. Statistical hypothesis testing for continuous variables was performed using the Mann-Whitney U test (due to the non-normality of these variables). Paired data were compared with the Wilcoxon Signed-Rank Test. All statistical assessments were two-sided and p-values<0.05 were deemed significant. Given the exploratory nature of the study in a field for which no published data were available during the design phase, no statistical tool was applied to calculate sample size. Furthermore, for the same reason, corrections for multiple comparison were performed only for the effect of circulating biomarkers on response. The SPSS version 19.0 statistical software package was used.

Data were expressed as mean ±SEM from two independent experiments using different cultures. Each experiment was performed at least in triplicate with different cell batches (total 6–12 measurement/condition). Statistical analyses were performed using SigmaPlot 11.0 software. Data were tested by One Way ANOVA followed by the Bonferroni test. Differences were considered significant at P<0.05. SPSS version 19.0 statistical analysis package (SPSS, Inc., Chicago, IL, USA) was used for the PCA test and linear correlations.