The mean ± standard deviation (SD) or median (IQR) was used to represent continuous variables, depending on whether the data distribution was parametric or non-parametric, as determined by the Shapiro–Wilk test. The paired t-test was applied to compare pre-post means in parametric data. In non-parametric data, the Wilcoxon signed rank test was applied to compare pre-post means. Pearson’s and Spearman’s correlations were used to determine the association between GV parameters and their determinants. Multiple logistic regression was used to determine the association between GV and UACR. The level of statistical significance was set at p <0.05.
Statistical package for social sciences spss v22
SPSS v22 is a software package developed by IBM for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and visualization. The core function of SPSS is to enable users to perform a wide range of statistical procedures, including descriptive statistics, regression analysis, and hypothesis testing.
Lab products found in correlation
2 protocols using statistical package for social sciences spss v22
Glycemic Variability and Kidney Function
The mean ± standard deviation (SD) or median (IQR) was used to represent continuous variables, depending on whether the data distribution was parametric or non-parametric, as determined by the Shapiro–Wilk test. The paired t-test was applied to compare pre-post means in parametric data. In non-parametric data, the Wilcoxon signed rank test was applied to compare pre-post means. Pearson’s and Spearman’s correlations were used to determine the association between GV parameters and their determinants. Multiple logistic regression was used to determine the association between GV and UACR. The level of statistical significance was set at p <0.05.
Logistic Regression Analysis of Patient LOS
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