Data were analyzed using the SPSS PASW Statistics 18 Package. The Shapiro-Wilk test was used to assess the distribution of data. Normally distributed and continuous variables were presented as mean ± standard deviation (SD), while nonnormally distributed variables were presented as median (interquartile range). An independent t-test and Wilcoxon test were used in the comparisons between groups. The mixed ANOVA model (2 × 2) test was used to compare differences between groups. A Bonferroni correction was also performed. P values were two-tailed with a significance level of 5%.
Spss pasw statistics 18 package
Manufactured by IBM
SPSS PASW Statistics 18 Package is a comprehensive software solution for statistical analysis. It provides a wide range of tools for data management, exploration, modeling, and reporting. The package includes capabilities for descriptive statistics, regression analysis, and multivariate techniques, among others. It is designed to help users analyze and interpret data effectively.
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Lab products found in correlation
6 protocols using spss pasw statistics 18 package
1
Statistical Analysis of Experimental Data
2
Comparison of Statistical Approaches
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Data were analyzed with the SPSS PASW Statistics 18 Package. Shapiro-Wilk test was used to assess the distribution of data. Normally distributed and continuous variables are presented as mean ± standard deviation (SD). Non-normally distributed variables were presented as median (IQR) and logarithmically transformed before analysis. The independent samples t-test was used to compare the differences between two groups. A two-way ANOVA for repeated measurements was used in the comparison between groups. Bonferroni correction was followed. P values were two-tailed with a significance level of 5%.
3
Analysis of Nonnormally Distributed Variables
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Data were analyzed with the SPSS PASW Statistics 18 Package. Normally distributed and continuous variables are presented as mean (standard deviation, SD). Nonnormally distributed variables were presented as median (IQR) and logarithmically transformed before analysis. The independent samples t-test was used to compare each group difference. Significance was defined as P < 0.05.
This study was registered with Chinese Clinical Trial Registry, numberChiCTR-TRC-11001218 .
This study was registered with Chinese Clinical Trial Registry, number
4
Comparative Analysis of Physiological Data
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Data were analyzed with the SPSS PASW Statistics 18 Package. Shapiro-Wilk test was used to assess the distribution of data. Normally distributed and continuous variables are presented as mean ± standard deviation (SD). The mixed ANOVA model (2 × 2) test was used to compare differences within group. An independent t-test was used in the comparisons between groups. Bonferroni correction was followed. P values were two-tailed with a significance level of 5%.
5
Comparative Analysis of Treatment Outcomes
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Data were analyzed with the SPSS PASW Statistics 18 Package. The Shapiro–Wilk test was used to assess the distribution of the data. Normally distributed and continuous variables are presented below as the mean ± standard deviation (SD). The independent samples t test was used to analyze the difference between two groups. The two-way ANOVA for repeated measurements was used to compare the groups. Bonferroni correction was performed. Safety data were summarized using descriptive statistics from the safety analysis set (SAF). P values were two-tailed with a significance level of 5%.
6
Glucose Concentration Comparison Study
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Data were analyzed with the SPSS PASW Statistics 18 Package. For normally distributed data, the means (± standard error (SE)) of the two groups were compared using t-test. The rates between two groups were compared using the chi-square test. A two-way ANOVA was used in comparing the hourly glucose concentrations between the two groups. A P value < 0.05 was considered as statistically significant.
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