The baseline characteristics of the included patients and the response data are presented as n (%). OS was expressed as a median (months) and estimated using the Kaplan‐Meier method and log‐rank test. All of the statistics were performed using the SPSS statistical 24.0 (SPSS Inc., Chicago, IL). Statistical significance was recognized at P<0.05.
Spss statistical 24
Manufactured by IBM
SPSS Statistics 24.0 is a software package used for statistical analysis. It provides a wide range of data manipulation, visualization, and analysis tools to help users gain insights from their data. The software is designed to handle a variety of data types and offers a user-friendly interface for performing statistical analyses.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using spss statistical 24
1
Survival Analysis of Cancer Patients
2
NWS Therapy for Recanalization
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Statistical analysis was performed using the statistical software IBM SPSS Statistical 24.0 (SPSS, Chicago, IL). The analysis of the outcomes between the NWS therapy group and control group was conducted by both intention-to-treat (ITT) and per-protocol (PP) analysis. All eligible patients were analyzed by ITT analysis, and patients who did not violate the protocol were analyzed by PP analysis.
Quantitative variables were expressed as the mean ± SD, whereas qualitative variables were expressed as percentages. Quantitative variables were compared using the Student t test or Wilcoxon rank-sum test, and categorical variables were compared using the χ2 or Fisher exact test, as appropriate. Univariate and multivariate logistic regression analyses were performed to find significant end point predictors for recanalization. A 2-tailed P value < 0.05 was considered statistically significant.
Quantitative variables were expressed as the mean ± SD, whereas qualitative variables were expressed as percentages. Quantitative variables were compared using the Student t test or Wilcoxon rank-sum test, and categorical variables were compared using the χ2 or Fisher exact test, as appropriate. Univariate and multivariate logistic regression analyses were performed to find significant end point predictors for recanalization. A 2-tailed P value < 0.05 was considered statistically significant.
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