Results are presented as mean ± S.E.M. The SPSS statistical package for Windows Version 13 (SPSS, Chicago, IL, USA) and GraphPad Prism 5 software (GraphPad Software, Inc, San Diego, CA, USA) were used for the Pearson chi-squared test, a two-tailed Student's t test, a Kaplan–Meier plot, a log-rank test or an ANOVA when appropriate. P < 0.05 was considered to be statistically significant.
Spss statistical package for windows version 13
Manufactured by IBM
Sourced in United States
SPSS Statistical Package for Windows Version 13 is a software application designed for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and presentation. The software is widely used in various fields, including social sciences, market research, and scientific research, to analyze and interpret data.
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Lab products found in correlation
27 protocols using spss statistical package for windows version 13
1
Detailed Statistical Analysis Methods
2
Statistical Analysis of Biological Data
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All quantitative date were presented as the Mean ± SEM. The SPSS statistical package for Windows Version 13 (SPSS, Chicago, IL, USA) and GraphPad Prism 5 software (GraphPad Software, Inc., San Diego, CA, USA) were used for the statistical analysis including Pearson chi-square tests, two-tailed Student’s t test, a Kaplan-Meier plot, a Log-rank test, a Pearson’s correlation coefficient analysis or one-way ANOVA test. P < 0.05 was considered to be statistically significant.
3
Statistical Analysis of Experimental Data
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Results are presented as mean ± SEM. Significance was established, with the SPSS statistical package for Windows version 13 (SPSS, Inc., Chicago, IL, USA) and GraphPad Prism 5 software (GraphPad Software, Inc., San Diego, CA, USA), using a Pearson’s Chi-square test, a Kaplan-Meier plot, a log-rank test, the multi-variant Cox regression analysis, Pearson’s correlation coefficient or a two-tailed Student’s t-test when appropriate. Differences were considered significant at P<0.05.
4
Statistical Analysis of Colorectal Cancer
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Results are expressed as the mean ± standard error of the mean. All experiments were repeated three times. All statistical analyses were performed using SPSS statistical package for Windows version 13 (SPSS, Inc., Chicago, IL, USA) or GraphPad Prism 5 software (GraphPad Software, Inc., La Jolla, CA, USA). The quantitative data were compared between groups using the Student's t-test. Categorical data were analyzed using the Pearson chi-squared test. The Kaplan-Meier method and log-rank test were used to compare the cumulative recurrence and survival rates. The independent factors influencing the survival and recurrence of patients with CRC were determined using the Cox proportional hazards model. Correlation analysis was conducted using the Pearson's correlation coefficient. P<0.05 was considered to indicate a statistically significant difference.
5
Statistical Analysis of Research Data
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The quantitative data were compared between groups using the Student’s t-test or analysis of variance (ANOVA). Categorical data were analyzed using the Pearson’s χ2 test. The cumulative recurrence and survival rates were determined using the Kaplan–Meier method and log-rank test. A value of P<0.05 was considered to be significant. All the analyses were performed using the SPSS statistical package for Windows Version 13 (SPSS Inc., Chicago, IL, USA) or GraphPad Prism 5 software (GraphPad Software, Inc., La Jolla, CA, USA).
6
Comprehensive Statistical Analysis Protocol
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Results are expressed as Mean ± SEM. Significance was established, with the SPSS statistical package for Windows Version 13 (SPSS, Chicago, IL, USA) and GraphPad Prism 5 software (GraphPad Software, Inc, San Diego, CA, USA), using a Pearson chi-squared test, the multi-variant Cox regression analysis, a two-tailed Student’s t test, a Kaplan–Meier plot, a log-rank test, a Spearman’s rank correlation coefficient or an ANOVA when appropriate. Difference were considered significant when P < 0.05.
7
Statistical Analysis of HCC Patients
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All statistical analyses were performed using the SPSS statistical package for Windows Version 13 (SPSS, Chicago, IL, USA) or GraphPad Prism 5 software (GraphPad Software, Inc, San Diego, CA, USA). The quantitative data were compared between groups using the Student’s t-test or ANOVA. Categorical data were analyzed using the Pearson chi-squared test. The Kaplan-Meier method and log-rank test were used to compare the cumulative recurrence and survival rates. The independent factors influencing the survival and recurrence of HCC patients were determined using the Cox proportional hazards model. Correlation analysis was tested by the Pearson’s correlation coefficient. A value of P < 0.05 was considered to be statistically significant.
8
Statistical Analysis of Research Data
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The results were expressed as the mean ± standard error of the mean. The data was analyzed using the SPSS statistical package for Windows version 13 (SPSS, Chicago, IL, USA) or GraphPad Prism 5 software (GraphPad Software, Inc., San Diego, CA, USA). Pearson's χ2 test, Kaplan-Meier analysis, log-rank test, multivariate Cox regression analysis or a two-tailed Student's t-test, when appropriate. P<0.05 was considered to indicate a statistically significant difference.
9
Quantitative Analysis of Clinicopathological Correlations
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The quantitative data are expressed as Mean ± SEM. The SPSS statistical package for Windows Version 13 (SPSS, Chicago, IL, USA) and GraphPad Prism 5 software (GraphPad Software, Inc, San Diego, CA, USA) were used for statistical analysis. A Pearson chi-squared test was applied to determine clinicopathological correlations. Comparison between two or more groups was subjected to a two-tailed Student’s t test or ANOVA when appropriate. Difference were considered significant when P < 0.05.
10
Statistical Analysis of Research Findings
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Results are expressed as mean ± SEM. Significance was established, with the SPSS statistical package for Windows Version 13 (SPSS, Chicago, IL, USA) and GraphPad Prism 5 software (GraphPad Software, Inc, San Diego, CA, USA), using a Pearson chi-squared test, the multivariant Cox regression analysis, a Kaplan–Meier plot, a log-rank test, a Spearman’s rank correlation coefficient, or a two-tailed Student’s t-test when appropriate. Difference were considered significant when P<0.05.
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