All statistical analysis was performed using of SPSS 15.0 statistical software. One way-ANOVA followed by post hoc Bonferroni correction was performed on proliferation of fibroblasts among different groups. All the experimental data were expressed as mean ± standard error. Repeated measurement data analysis of variance was using for continuous measurement of the experimental data at different time points, probabilities of 0.05 or less was considered statistically significant.
Spss 15.0 statistical
Manufactured by IBM
Sourced in United States
SPSS 15.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including data manipulation, statistical modeling, and visualization. The software is designed to help users analyze and interpret data from a variety of sources, supporting a wide range of statistical techniques.
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Lab products found in correlation
20 protocols using spss 15.0 statistical
1
Fibroblast Proliferation Analysis
2
Kaplan-Meier and Cox Regression Analysis
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SPSS 15.0 statistical software was applied for data analysis. The Kaplan–Meier method was used to analyze PFS and OS. The log-rank method was used to test the significance compared with the survival curves. Multivariate analysis of survival was carried out with Cox’s regression model. P values less than 0.05 were considered statistically significant.
3
Hemodynamic Changes in Surgical Patients
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The data was analyzed using SPSS 15.0 statistical software. A sample size of 30 patients per group was required, which was determination on the basis of α risk of 0.05 and β risk of 0.10. Descriptive statistics were quoted as mean ±SD, median (range), number (incidence) as appropriate. Student's t test (for parametric data) and Mann-Whitney U test (for non-parametric data) were used for statistical analyses. The incidences of side effects and satisfactions were analyzed using Fisher's exact test and chi-square test. The paired t-test was used to investigate hemodynamic changes over time in each group. Statistical significance was set at the P < 0.05 level.
4
Survival Analysis of Gene Expression
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The SPSS 15.0 statistical software was used for data analysis. During statistical analysis of RRM1, ERCC1, and BRCA1, the expression levels (relative to β-actin) were divided into the high- and low-expression groups where the boundary was defined by the median. The χ2 test was performed for categorical variables and Spearman's rank correlation analysis was performed for continuous variables. Survival analysis was performed using Kaplan-Meier survival curves and logrank test methods. Factors such as age, sex, smoking, type of organization, and gene expression level were analyzed by independent predictors. After logrank test methods univariate analysis, factors with significant differences were analyzed by cox-regression methods for multivariate analysis. P < 0.05 defined statistically significant differences.
5
Statistical Analysis of Experimental Data
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The SPSS15.0 statistical software package was employed for the statistical analysis of the data. All data are expressed as mean ± standard deviation (SD). Pairwise comparisons of the measurement data among the groups were performed using a one-way ANOVA, whereas the ranked data were compared using the Rank sum test (Kruskal-Wallis method). The difference at the level of P<0.05 was regarded as significant.
6
Comparative Analysis of Animal Models
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All values are expressed as the mean ± standard deviation (SD). Differences were analyzed by one-way analysis of variance (ANOVA) with the Least Significant Difference or Tamhane′s T2 multiple comparison post hoc tests using SPSS 15.0 statistical software (SPSS Inc., Chicago, IL, USA). Statistical significance was defined at P < 0.05.
7
Statistical Analysis of Experimental Data
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The obtained results were expressed as standard deviation mean ± (n = 3) and the differences statistical significance between the different treatments was estimated using one-way analysis of variance (ANOVA) using the program SPSS 15.0 statistical software. Differences were accepted and considered significant at P value < 0.05.
8
Comparative Analysis of Treatment Outcomes
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The data are expressed as the mean ± standard deviation ( ). Statistical analysis was performed using SPSS 15.0 statistical software (Chicago, IL). ANOVA was employed for comparison among groups. P < 0.05 was considered statistically significant.
9
Lower Limb Function and Gait Rehabilitation
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All measurement data in this study were represented by ( ), and the comparison between the two groups of patients' measurement data was performed by group design T-test. Paired T-test was used to compare lower limb motor function and walking ability before and after treatment, x2 test was used for counting data, and P < 0.05 indicated that the difference was statistically significant. Lower extremity function score and walking ability score were analyzed by Pearson correlation analysis. All the data in this topic were analyzed by SPSS15.0 statistical software.
10
Evaluation of PFKP Expression in Patients
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Data are presented as the mean ± standard deviation. GraphPad Prism 7.0 (GraphPad Software, Inc.) and SPSS 15.0 statistical software (SPSS, Inc.) were used for the statistical analyses. The χ2 test was used to analyze the association between PFKP expression and the clinicopathological parameters of patients. The paired Student's t-test was used for comparisons between the two groups. One-way analysis of variance with Tukey's post-hoc test was used to compare multiple groups. P<0.05 was considered to indicate a statistically significant difference.
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