All continuous variables were subjected to normality testing. Data were expressed as frequency (percentage) for categorical variables and mean (± standard deviation [SD]) for parametric data and median (interquartile range) for nonparametric data. Patients were classified into binary categories of those who experienced complications (hypoxia, bradycardia, or MAP<70 mmHg) and those who did not. Comparisons were made between the two groups using chi‐square or Fisher's exact test for categorical data and student t‐test or Mann–Whitney U test for parametric or nonparametric continuous variables, respectively. P < 0.05 was considered statistically significant. Data were analyzed using SPSS Statistics V21.0.
Statistics v21
Manufactured by IBM
Statistics V21.0 is a software package developed by IBM for the analysis and interpretation of data. The core function of this product is to provide a comprehensive set of statistical tools and techniques for researchers, analysts, and data scientists. The package includes features for data exploration, hypothesis testing, regression analysis, and more. However, a detailed and unbiased description of the product's specific capabilities cannot be provided without the risk of extrapolation or interpretation.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using statistics v21
1
Statistical analyses
2
Statistical Analysis of Experimental Data
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The two groups of data were analyzed by the independent sample t-test. One-way ANOVA test was used for the data of 3 groups and above, and Bonferroni or Dunnett’s T3 was used for pairwise comparison. p < 0.05 indicated the significant difference. All data were analyzed using SPSS Statistics V21.0 software and the results were expressed as the mean ± standard deviation (SD).
3
Two-Factor Repeated Measurement ANOVA
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Two-factor repeated measurement analysis of variance was used to analyze statistical data, and P < 0.05 indicated significant differences. All data were analyzed using SPSS Statistics V21.0 software, and the results are expressed as the mean ± standard deviation.
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