Spss software 21

Statistical analyses were performed using SPSS software 21.0 (SPSS Inc., Chicago, IL, USA) and GraphPad Prism version 6.0 (GraphPad Inc., San Diego, CA, USA). An independent-samples t-test was used for comparisons of differences in CD4⁺ T cell counts and plasma viral loads between two independent groups. A paired-samples t-test was used to compare CD4⁺ T cell counts and plasma viral loads between different time points within the same group. Spearman’s correlation analysis was used to assess the relationships between CD4/CD8 ratio and CD4⁺ T cell count, CD8⁺ T cell count, or plasma vRNA level. Values of P < 0.05 were considered statistically significant.

Statistical analysis was done using SPSS software 21.0 (SPSS Inc. Chicago, IL, USA). The descriptive data are presented as mean ± standard deviation. Shapiro–Wilk test was used to confirm the normality of the distribution scores. A 2 × 3 repeated measures analysis of variance (ANOVA) with time (at baseline, 4 min, 12 min of posttest), protocol (plyometric training and WBV), and the interaction effect (time × protocol) was used. If the main effect of the protocol was not significant, post hoc analysis was not employed. Whereas, if the main effect of time was significant, a post hoc analysis using Bonferroni correction was applied on time. The significance level was set at p < 0.05.

Data analysis was performed with one-way analysis of variance (ANOVA) test with post hoc contrasts by Student–Newman–Keuls test by using SPSS software 21.0 (SPSS, Inc., Chicago, IL). The statistical analysis of survival rate was performed with Log-rank (Mantel-Cox) test by Prism 7.0 software. For all studies, data are presented as mean ± standard deviation. p Values less than .05 were considered statistically significant.

Based on the SPSS software 21.0 (Chicago, IL, USA), the differences in WB assay, cell migration and invasion assays, subcutaneous tumor volumes, and the number of liver metastases were compared through Student’s t test. Non-parametric and Spearman correlation tests were analyzed for IHC assays in vivo and human PC samples. The association of Numb expression with clinicopathological data was analyzed by Chi-squared test and Spearman correlation test. P < 0.05 or P < 0.01 was considered significant.

Data were analyzed by SPSS software 21.0 (Chicago, IL, United States) and expressed as the mean ± standard error of the mean (Mean ± SEM). The exclusion of outliers follows a standard analytical procedure to avoid undue influence. Differences among the experimental groups were determined by one-way analysis of variance (ANOVA) followed by least significant difference post hoc test. The data recorded from the acquisition trails of the MWMT among the groups over a period of 5 days were analyzed with repeated measures and a multivariate analysis of variance (ANOVA) process of the general linear model. p < 0.05 was considered statistically significant and p < 0.01 indicates a very significant difference.

The expression of hub genes was assessed using the Wilcoxon Signed rank test and Mann–Whitney U test. Experimental data were expressed as mean ± standard deviations from three independent experiments and were analyzed using SPSS software (21.0; SPSS, Inc, Chicago, IL). Continuous variables between two groups or among three groups were compared using the unpaired Student’s t-test or one-way analysis of variance (Bonferroni post hoc test) as appropriate. Categorical variables were compared using the Chi-square test or Fisher’s exact test as appropriate. All statistical tests were two-sided and a P-value < 0.05 was considered statistically significant.