All the experiments were repeated 3 times. Data were analyzed using SPSS version 19.0 statistical software (IBM Corp., Armonk, NY, USA) and expressed as the mean ± standard deviation. Comparisons between groups were analyzed using the unpaired Student's t-test or one-way analysis of variance (ANOVA) followed by Tukey's post hoc tests. P<0.05 was considered statistically significant.
Spss version 19.0 statistical software
Manufactured by IBM
Sourced in United States
SPSS version 19.0 is a statistical software package developed by IBM. It provides a suite of tools for data analysis, management, and presentation. The software is designed to handle a wide range of data types and offers a variety of statistical techniques, including regression analysis, clustering, and hypothesis testing.
Automatically generated - may contain errors
Lab products found in correlation
48 protocols using spss version 19.0 statistical software
1
Evaluation of Novel Therapeutic Approach
2
Comparative Analysis of HPLC and UV-Vis Methods
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SPSS version 19.0 statistical software (IBM Corp., Armonk, NY, USA) was used for statistical analysis. All quantitative data are presented as the mean ± standard deviation. Linear regression was used to establish the standard curve of the HPLC and UV-Vis methods, respectively. Paired Student's t-test was used to compare the mean concentration obtained from the HPLC and UV-Vis methods. Pearson's correlation analysis was used to analyze the concentration detected by HPLC and UV-Vis methods. The relative standard deviation (RSD) was calculated according to the following equation: Standard deviation/calculated arithmetic mean ×100%. P<0.05 was considered to indicate a statistically significant value.
3
Statistical Analysis of Medical Data
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Statistical analysis was performed by a professional medical statistical consultant using SPSS version 19.0 statistical software (IBM Corp, Armonk, NY, USA). Values were presented as mean ± standard deviation. Depending on the normality of the data, correlations among the measured variables were analyzed using Pearson’s product-moment or Spearman’s rank correlation coefficient. An independent-sample t-test or Mann–Whitney U-test was used to compare the parameters. Significance was accepted for a p-value of <0.05.
4
Quantitative Biological Data Analysis
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Data from 3 biological replicates were averaged for the analysis. All data are expressed as means ± standard deviation (SD). Inter-group differences were compared by one-way analysis of variance (ANOVA); when differences were significant by this test (P < 0.05), multiple comparisons were assessed by Tukey post hoc test. All statistical analyses were carried out with SPSS version 19.0 Statistical Software (IBM, Chicago, IL, USA). In all cases, a P < 0.05 was considered to be statistically significant.
5
Quantitative Histological Analysis
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Data was drawn from at least three separate experiments performed in triplicate. The data were presented as mean ± SD and analyzed using the SPSS version 19.0 statistical software (International Business Machines Corporation, New York, NY, USA). Comparisons between multiple groups were performed by one-way analysis of variance procedures coupled with Bonferroni’s post hoc tests. The histologic semi-quantitative analysis was compared by the nonparametric Mann-Whitney test. p value < 0.05 was considered significant.
6
NMR Data Analysis for Metabolomics
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SIMCA-P version 11.0 was used for 1H-NMR data analysis. Values were expressed as the mean ± standard deviation (SD). The significantly different expression of compound peaks (variable importance; VIP >1.0) was listed by the software. Subsequently, the differentiated expressions of peaks were analyzed by discriminatory analysis. SPSS version 19.0 statistical software (IBM Corp., Armonk, NY, USA) was used for the statistical analyses of clinical data. Depending on the underlying statistical distribution and the result of the homogeneity test for variance, either one-way analysis of variance (ANOVA) or the Kruskal-Wallis (K-W) test was used. Primary statistical analysis of the pooled data (mean ± SD) was performed with the ANOVA to determine mean differences of metabolites, followed by Student-Newman-Keuls (SNK) test for multiple comparisons. χ2 test was used to compare categorical variables. P<0.05 was considered to indicate a statistically significant difference.
7
Statistical Analysis of Qualitative and Continuous Variables
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Qualitative variables were compared between the groups by χ2 tests, and continuous variables were analyzed by the nonparametric Mann-Whitney U test for unpaired comparison. Statistical analysis was performed using SPSS version 19.0 statistical software (IBM, Armonk, NY, USA) and graphs were generated using the prism software (version 4.00; GraphPad, La Jolla, CA, USA). All tests were 2-tailed, and P values of less than 0.05 were considered significant.
8
Evaluation of ANXA4 Expression in Cancer
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Results are expressed as mean ± standard deviation (SD) based on a minimum of three replicates. Differences between groups were evaluated using SPSS version 19.0 statistical software (IBM Corporation, NY, USA). Results were compared between two groups using Student’s t-tests (two-tailed), and among more than two groups by one-way analysis of variance. The relationships between ANXA4 expression levels and various clinicopathologic characteristics were analyzed by non-parametric Mann-Whitney tests. Survival rates were determined using the Kaplan–Meier method. P < 0.05 was considered statistically significant.
9
Statistical Analysis of Medical Data
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Statistical analysis was performed by a professional medical statistical consultant using SPSS version 19.0 statistical software (IBM Corp, Armonk, New York). Values were recorded as mean ± standard deviation. Depending on the normality of the data, correlations among the measured variables were analyzed by Pearson’s product-moment or Spearman’s rank correlation coefficient. An independent-samples t-test or Mann- Whitney U-test was used to compare parameters. Significance was accepted for a p value of less than 0.05.
10
Statistical Comparison of Experimental Data
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All data in this experiment were expressed as mean±standard deviation (±SD), and were analyzed by using SPSS version 19.0 statistical software (International Business Machines Corp., Armonk, New York, USA). The comparison of data between groups was realized with t-test. P<0.05 defined that the difference was statistically significant.
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