Spss 21 software package

SPSS software package 21.0 (IBM, Chicago, IL, USA) was used for all statistical evaluations. Descriptive statistics included mean, median, standard deviations, and range values for continuous data; for categorical data, they included percentage and frequency. Comparisons between groups were analyzed using the Student’s t-test, Chi-square test, and ANOVA, depending upon the distribution of variables. Correlation analysis was performed with the Spearman correlation test. Binary logistic regression analysis was undertaken for the evaluation of different variables on suicide risk. Statistical significance was accepted as p < 0.05.

For determination of the cut-off value for dichotomisation, The R package flexmix was used to fit a zero-inflated Poisson mixture model of CD20 data in the discovery cohort. The model is a mixture of two Poission distributions (low and high abundance of CD20-positive cells) and a point distribution at zero. A cut-point for dichotomisation into low and high abundance was determined based on the posterior probabilities.^{27 (link)}Association of CD20 + staining or the B-cell signature with clinic-pathological parameters was analysed with Fisher exact test or Pearson Chi-square test.
The duration of survival time was calculated from the date of diagnosis to the date of death or last known follow-up. Probabilities of survival were estimated using the Kaplan–Meier method and log-rank test. The correlation of CD20 status with outcome was evaluated using Cox proportional hazards regression model in uni- and multi-variable analyses.
Statistical analyses were done using the SPSS software package 21.0 (IBM Corporation, Armonk, NY). P-values <0.05 were considered statistically significant.

For comparison of mean values, an unpaired two‐tailed Student's t‐test was performed as indicated and p‐values < 0.05 were considered statistically significant. Association of NRP1 levels with clinicopathological parameters was analyzed with Fisher's exact test or Pearson's chi‐square test. Probabilities of survival were estimated using the Kaplan–Meier method and log‐rank test. The correlation of patient survival time with VEGFR2/NRP1 trans complexes, NRP1 levels in tumor cells or NRP1 levels in perivascular tumor cells was evaluated using Cox proportional hazards regression model in uni‐ and multivariable analyses. The SPSS software package 21.0 (IBM Corporation, Armonk, NY, USA) was used for statistical analysis, and p‐values < 0.05 were considered statistically significant.