Continuous data are expressed as medians and interquartile ranges. Categoric variables are expressed as frequencies and proportions. Repeated measures ANOVA was used to compare biochemical indicators of liver function. Survival curves were estimated by using the Kaplan-Meier method. Cox proportional hazards regression analyses were performed to determine signi cant baseline clinical-biologic and nodule parameters for the prediction of local and overall tumor progression-free survival rates. All variables with P < 0.200 were included in the multivariate analysis; a stepwise Cox proportional hazards regression model was used to evaluate their value as independent predictors. In stepwise regression, P < 0.05 was considered to indicate a signi cant difference. SPSS for version 25.0 (IBM, Armonk, New York, USA) was used for statistical analysis.
Spss for version 25
Manufactured by IBM
Sourced in United States
SPSS for version 25.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including data management, statistical modeling, and reporting. The software is widely used in various industries and academic settings to analyze and interpret complex data.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using spss for version 25
1
Tumor Progression Predictors Protocol
2
Tumor Progression Predictors Protocol
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Continuous data are expressed as medians and interquartile ranges. Categoric variables are expressed as frequencies and proportions. Repeated measures ANOVA was used to compare biochemical indicators of liver function. Survival curves were estimated by using the Kaplan-Meier method. Cox proportional hazards regression analyses were performed to determine signi cant baseline clinical-biologic and nodule parameters for the prediction of local and overall tumor progression-free survival rates. All variables with P < 0.200 were included in the multivariate analysis; a stepwise Cox proportional hazards regression model was used to evaluate their value as independent predictors. In stepwise regression, P < 0.05 was considered to indicate a signi cant difference. SPSS for version 25.0 (IBM, Armonk, New York, USA) was used for statistical analysis.
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