Spss 15.0 software for windows

Quantitative differences in the data on tumor volume, pulmonary metastasis nodules, gene and protein expression levels, cell invasiveness, colony formation, and oxaliplatin sensitivity were evaluated by t-test. Statistical analysis was performed using SPSS 15.0 software for Windows (SPSS Inc. Chicago, IL, USA). P<0.05 was considered statistically significant.

Fisher's exact test was used to analyze the relationship between nominal variables, in 2 × 2 contingency tables, calculating the odds ratio and 95% confidence intervals. The Chi-squared test was used to analyze the relationship between nominal variables and the DHI score (as a categorical variable). The Kolmogorov-Smirnov test was used to determine whether the continuous variables followed a normal distribution. When this test confirmed the hypothesis of normality, a Student's t-test was used to relate them to the nominal variables. Conversely, when the continuous variables did not follow a normal distribution, a non-parametric Mann-Whitney U-test was used to examine these relationships. To assess the effect of the variables sex (males and females), associated neurological disease, Benzodiazepine use, use of other psychotropic drugs, and alcohol consumption (yes vs. no) on DHI, generalized linear models (GLM) were used. The Akaike Information Criteria (AIC) corrected for finite samples was used as goodness-of-fit test of the models, and the Wald test was used to compare model effects. Finally, to correlate continuous variables with each other, Spearman's Rho correlation test was used. The level of statistical significance for all tests was set at p < 0.05.
The SPSS 15.0 software for Windows was used for the statistical analyses.

All data are expressed as mean ± SD, unless stated otherwise. Cell viability data, apoptosis rates, and infarct volumes, are expressed as average rates. Comparisons of T2 value, iron concentration, cell viability, apoptosis, intracellular ROS level, and ratio of the red/green fluorescence intensity between labeled cells and unlabeled control cells were performed by using two independent samples t-test. The measured infarct volumes and mNSS were compared among those animals that were transplanted with cells pre-labeled with ASP-SPIONs, with unlabeled cells, and with PBS. This was completed using a repeated-measures one-way analysis of variance, followed by the Student-Newman-Keuls test for comparisons among different time points. Statistical analysis was performed by using SPSS 15.0 software for Windows (Chicago, IL, USA). A value of p < 0.05 was considered statistically significant.