Spss 13.0 software package

The means of continuous variables, such as the Gankyrin staining level between different stages during the multistep hepatocarcinogenesis process, were compared by a one-way analysis of variance (multiple comparisons). The clinicopathological characteristics of HCC and the Gankyrin expression level were compared using the Mann-Whitney U test. Multiple comparisons of cell growth, soft agar, cell cycle, migration, and invasion assays were analyzed using the t test. Cumulative survival curves were calculated using the Kaplan–Meier method. The SPSS 13.0 software package (SPSS Inc., Chicago, IL) was used for the statistical analyses. All statistical tests were two-sided, and P values < 0.05 were considered to indicate statistical significance.

Data were expressed as means ± standard error (SE). Statistical analysis was carried out with the SPSS 13.0 Software Package (SPSS Inc., Chicago, IL, USA). One-way ANOVA followed by the Duncan’s multiple range test was employed to analyze differences among different development stages and tissues. The Student’s t-test was used to analyze data from SlCPR-silenced larvae and toxicity tests with phoxim. Statistical differences were considered as significant at p < 0.05.

Normality and homoscedasticity of dependent variables were checked. Data analysis was performed using the SPSS 13.0 software package (SPSS Inc., Chicago, IL, USA). The analysis of variance using two-way ANOVA was performed between water regimes and treatments ecotypes. One-way ANOVA was applied to assess the differences either among water regimes or treatments. Separation of means was performed by post-hoc test (Tukey’s test), and significant differences were accepted at the levels p < 0.05, 0.01, and 0.001. The data were presented as mean ± standard deviation. Spearman coefficient was run to investigate the non-parametric correlation between water regimes and treatments.

All data were analyzed using the SPSS 13.0 Software Package (SPSS Inc., Chicago, IL, USA). One-way ANOVA followed by the Duncan’s multiple range test was employed to analyze differences among different tissues and development stages. The Student’s t-test was used to analyze data from the RNAi and feeding experiments with different pyrethroids. Statistical differences were considered as significant at p < 0.05.

The correlations between Cystatin SN expression and the clinicopathological parameters of patients with NSCLC were assessed with the χ² test. Logistic regression was performed to further identify the possible role of Cystatin SN expression with regard to the clinicopathological parameters. The disease-free survival (DFS) and the overall survival (OS) were calculated in months from the date of surgery to the date of regional recurrence or distant metastasis (for DFS) and death or final clinical follow-up (for OS). The DFS and OS were analyzed using the Kaplan-Meier method and compared using the log-rank test. A multivariate Cox proportional hazards regression analysis was performed for all variables found to be significant in a univariate analysis. Two-sided P < 0.05 was considered statistically significant. The statistical analyses were performed with the SPSS 13.0 software package (SPSS, Chicago, IL) and GraphPad Prism (Version 5, GraphPad Software, Inc.).

The sample size was estimated from treatment differences using similar previous CD studies (Comella et al. 1992 (link)). This sample size would provide 80 % power at two-sided significance level of 0.05.
All analyses were performed on the intent-to-treat (ITT) population, and all statistical testing was two-sided. The quantitative data were assessed using the mean and standard deviation. The t test was performed to compare the age, duration of disease, Tsui score between groups at 4, 8, 12 and 16 weeks, VAS every 4 weeks, and HADS score between the two groups at 8 weeks. The Chi square test was performed to assess differences in gender, PGIC and CGIC distribution at 16 weeks, and the proportion of adverse reactions between two groups. The SPSS 13.0 software package was used for statistical evaluation, and a p value <0.05 was considered statistically significant.