Power analysis and sample size was using to calculate the sample size. All analyses were performed using SPSS 21.0 v software. Continuous data were presented as mean ± SD, and were compared using Student t test. Categorical data were expressed as numbers and percentages. The relationship was examined using Spearman’s rank correlation test. A stepwise multivariate logistic regression analysis was performed to identify the independent risk factors of MACEs. The analyses included variables associated with the dependent variable in univariate analysis that did not have significant correlation between them. The clinical cut-off points were determined from the receiver operating characteristic curve. Statistical significance was set at p < 0.05.
Spss 21.0 v
Manufactured by IBM
SPSS 21.0 is a statistical software package developed by IBM. It provides data management, analysis, and visualization capabilities to support various research and analytical needs. The software offers a wide range of statistical techniques, including regression analysis, hypothesis testing, and multivariate analysis. SPSS 21.0 is designed to help users efficiently manage and analyze their data, facilitating informed decision-making across different industries and applications.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using spss 21.0 v
1
Identifying Independent Risk Factors of MACEs
2
Statistical Analysis of Quantitative Parameters
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The statistical analysis was based for the comparison of percentages on the x2 criterion. For the quantitative parameters the analysis was based on the non parametric Mann–Whitney-Wilcoxon test. The quantitative parameters were expressed as mean ± standard deviation. The levels for statistical significance were set for values of p < 0.05. The program we used for the statistical analysis was the SPSS 21.0 v.
3
Epidural Fibrosis Analysis Protocol
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Chi-square analysis (Fisher's Exact test) was used to present the scores of epidural fi brosis depending on the groups (Control and Pegaptanib Sodium). The fi ndings were expressed as the sample size (%). All the computational work was performed by means of SPSS 21.0 V. p < 0.05 were accepted as statistically signifi cant.
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