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Spss 15 software package

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SPSS 15 is a comprehensive software package for statistical analysis. It provides a wide range of tools for data management, analysis, and reporting. The core function of SPSS 15 is to enable users to perform a variety of statistical tests and analyses on their data, including descriptive statistics, regression analysis, and hypothesis testing.

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SPSS software package (1062 citations) SPSS package (363 citations) SPSS 15.0 (194 citations) SPSS software 15.0 (23 citations) SPSSTM (8 citations) SPSS statistical software package version 15.0 (6 citations) SPSS softwares (4 citations) SPSS statistical software package for Windows, version 15.0 (4 citations) SPSS statistics software package version 15.0 for Windows (2 citations) SPSS Base 15.0 Statistical Software Package (2 citations)

2 protocols using spss 15 software package

1

Statistical Analysis of Experimental Data

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All experiments were replicated in triplicate and statistically analyzed by SPSS 15 software package (SPSS, Inc., Chicago, IL, USA). Differences between groups were analyzed by one-way analysis of variance (ANOVA). If ANOVA proved to be statistically significant, then we also used the least significant difference (LSD) method for pairwise analysis. P<0.05 was considered to indicate a statistically significant difference.
Wang X.Y., Jiao L.Y., He J.L., Fu Z.A, & Guo R.J. (2018). Parathyroid hormone 1–34 inhibits senescence in rat nucleus pulposus cells by activating autophagy via the m-TOR pathway. Molecular Medicine Reports, 18(3), 2681-2688.
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2

Clinicopathological Associations and Survival Analysis

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The SPSS 15 software package (SPSS, Inc., Chicago, IL) was used for statistical analysis. The association between the markers and clinicopathologic features was analyzed using χ2-test or two-sided t-test as appropriate. Survival curves were calculated using the Kaplan‑Meier method and compared by the log-rank test. Spearman's rank correlation coefficient and Fisher's exact test were used to explore the association between CPA4 and ALDH1A1 expression. All the comparisons were conducted using two-tailed, and p<0.05 was considered statistically significant.
Wang Y., Xie Y., Niu Y., Song P., Liu Y., Burnett J., Yang Z., Sun D., Ran Y., Li Y, & Sun L. (2021). Carboxypeptidase A4 negatively correlates with p53 expression and regulates the stemness of breast cancer cells. International Journal of Medical Sciences, 18(8), 1753-1759.
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