All data were analyzed with SPSS® for Windows software (Version 18.0, SPSS Inc., Chicago, IL) and SAS 9.3 (Cary, NC). Prior to analysis, data were assessed for normality using histograms, normal probability plots, and the Kolmogorov-Smirnov test of normality. For concentrations that were non-normally distributed, a log10 normalizing transformation was applied. Pearson’s correlation coefficient and associated 95% confidence intervals were used to quantify the association between TA and EBC concentrations. Scatter plots were used to assess whether the relationship between two concentrations appeared linear and to confirm that the Pearson’s correlation coefficient was an appropriate measure of association. Statistical significance was defined as p ≤ 0.05 using two-tailed tests. The sample size was determined in order to detect a minimum correlation coefficient of 0.5, with 0.8 power and an alpha of 0.05.
Spss for windows software version
Manufactured by IBM
Sourced in United States
SPSS for Windows is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, reporting, and modeling. The software is designed to handle a wide range of data types and offers a user-friendly interface for conducting statistical analyses.
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Lab products found in correlation
3 protocols using spss for windows software version
1
Correlation between TA and EBC Concentrations
2
Statistical Analysis of Experimental Data
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Data are expressed as means ± SE and were compared by Student’s t test. Statistical analyses were conducted using SPSS for Windows software (version 20.0; SPSS, Chicago, IL, USA). A p value <0.05 was taken to indicate statistical significance.
3
Survival Analysis of Patient Cohorts
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All data are presented as the mean ± standard deviation from three independent experiments. P-values were calculated by an unpaired Student's t-test or χ2 test using SPSS for Windows software (version 16.0; SPSS, Inc., Chicago, IL, USA). The Kaplan-Meier method was used to analyze disease-free survival time of patients and comparisons were analyzed by log-rank test. P<0.05 was considered to indicate a statistically significant difference.
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