Spss statistical software for windows version 13

A sample size of at least 30 eyes in each group was estimated to produce a 90% power of detection with at least a difference of 2 mm Hg between groups, with a standard deviation of 3.5 mm Hg for significance at a 2-sided level of 5%. Data were analyzed by intention to treat. Descriptive statistics were used to summarize patient demographics and baseline ocular characteristics. Skewness and kurtosis measures were used to test for normality. Paired and independent t tests were used to evaluate within group and between group mean differences, respectively. The analyses were performed using SPSS statistical software for Windows, version 13 (SPSS, Chicago, IL). A value of P < 0.05 was considered statistically significant.

Values are means ± standard deviations or numbers (percentages). Statistical analysis was performed using SPSS statistical software for Windows Version 13.0 (SPSS, Chicago, IL, USA). Quantitative parametric data were compared between groups using the t test, and nonparametric data were compared using the Mann–Whitney test. Qualitative data were compared using the chi-square and Fisher’s exact tests. A P value of 0.05 or less was considered to be statistically significant.

Statistical analyses were performed using SPSS statistical software for Windows, version 13.0 (SPSS, Chicago, IL, USA). The comparisons of cell viability, colony formation efficiency, and xenograft tumor size between different treatment groups were calculated using t-tests. Survival curves were calculated using the Kaplan-Meier method with a log rank test. The multivariate Cox regression method was used to analyze the effects of FASN / FZD10 expression on overall survival (OS, in months), which was defined as the time from diagnosis to the date of last contact or death. The comparison of 30- or 60-month survival rates between different subpopulations were performed using a Z-test. For all tests, a value of P < 0.05 was considered significant.

All values are expressed as mean ± standard deviation (SD), median (1st quantile, 3rd quantile), or number (percentage), as appropriate. For all analytic results, a p-value of 0.05 is considered statistically significant. We adopted the independent t and Mann-Whitney U test to identify the difference between the two groups for continuous variables according to the normality test. For independent variables, Pearson chi-square test was applied to compare the proportion between both groups. We used the ROC curve to analyze the optimal cut-off point of a variable with Youden’s index criterion. To compare the odds ratio of significant variables, we selected the candidate variables using univariate logistic regression with a p-value of 0.05 and the final model using multivariate logistic regression. All statistical analysis was performed using SPSS statistical software for Windows version 13.0 (SPSS for Windows, version 13; SPSS, Chicago, IL).

The differences between the nontumor group and the glioma subgroups were evaluated using Kruskal-Wallis and Mann-Whitney U tests. Correlations were analyzed by the Pearson’s correlation test. The in vitro experiments were repeated at least 3 times, the data are expressed as the mean ± S.E.M., and comparisons between 2 groups were performed using Student’s t-test. Animal survival was evaluated using the Kaplan-Meier method, which was followed by the log-rank (Mantel-Cox) test. Statistical analyses were performed using SPSS statistical software for Windows, version 13.0 (SPSS, Chicago, IL, USA). Tests were 2-tailed, and P < 0.05 was considered statistically significant.