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Spss graduate pack 19.0 statistical software

Manufactured by IBM
Sourced in United States

SPSS Graduate Pack 19.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, modeling, and reporting. The software is designed to assist students, researchers, and professionals in conducting quantitative research and making data-driven decisions. SPSS Graduate Pack 19.0 offers a wide range of statistical techniques, including regression analysis, hypothesis testing, and multivariate statistics.

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Lab products found in correlation

3 protocols using spss graduate pack 19.0 statistical software

1

Prognostic Significance of PKM2 Expression

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According to the cutoff value (the most significant split) [37 ], patients in our dataset were stratified into the PKM2-high group and the PKM2-low group. Student's t test and the Chi-square test were used to determine the significance of differences between the two groups. Overall survival curves were plotted according to the Kaplan–Meier method, and the log-rank test was applied for comparison. All differences were considered statistically significant at the level of P<0.05. Statistics were performed with SPSS Graduate Pack 19.0 statistical software (SPSS, Chicago, IL, USA) or GraphPad Prime 15.0.
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2

Statistical Analysis of Experimental Data

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All statistical analyses were performed using SPSS Graduate Pack 19.0 statistical software (SPSS, Chicago, IL, USA). P-values of less than 0.05 were considered to be statistically significant. All data, including mean values, SE, and one-way ANOVA, were calculated and analysed with Prism GraphPad software.
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3

Glioma Prognostic Biomarker Analysis

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The significance of differences between two groups was estimated with the Student t test and Chi-square test. Overall survival (OS) curves were plotted according to the Kaplan–Meier method, with the log-rank test applied for comparison. Pearson or Spearman correlationship analyses were used to confirm relationship between different genes. Cox regression was used to correlate Sufu expression with OS of high-grade glioma patients. All differences were considered statistically significant at the level of P < 0.05. Statistics were performed using the SPSS Graduate Pack 19.0 statistical software (SPSS, Chicago, IL, USA).
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