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Sas software version 9.2 of the sas software for windows

Manufactured by SAS Institute
Sourced in United States

SAS Software, version 9.2 for Windows, is a comprehensive software suite that provides advanced analytics and data management capabilities. It is designed to help organizations efficiently collect, manage, and analyze large and complex data sets. The software includes a range of tools and features that enable users to perform various tasks, such as data manipulation, statistical analysis, and predictive modeling.

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Lab products found in correlation

2 protocols using sas software version 9.2 of the sas software for windows

1

Statistical Analysis of Cellular Vitality

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analysis was done using GB-STAT version 6.5 software (Dynamic Microsystems, Inc., Silver Spring, MD, USA) and SAS Software, version 9.2 of the SAS software for Windows (SAS Institute Inc., Cary, NC, USA). The number of subjects (cells or coverslips) required for comparison was estimated using power analysis (set 80% and α = 0.05) and guided by our previously published work [16 (link),17 (link),19 (link),23 (link)]. Some groups deviated from normality based on Shapiro-Wilk or D’Agostino-Pearson tests for normality. Consequently, all the data are reported as median with interquartile range (IQR) and nonparametric statistics were used. To test the difference between the 2-h and 2-day time points in the vitality assay, the two groups were compared using Mann-Whitney U-test. For all the other experiments, the multiple independent groups were analyzed using Kruskal-Wallis One-Way ANOVA followed by Dunn’s test (significance established at p < 0.05).
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2

Statistical Analysis of Cellular Vitality

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analysis was done using GB-STAT version 6.5 software (Dynamic Microsystems, Inc., Silver Spring, MD, USA) and SAS Software, version 9.2 of the SAS software for Windows (SAS Institute Inc., Cary, NC, USA). The number of subjects (cells or coverslips) required for comparison was estimated using power analysis (set 80% and α = 0.05) and guided by our previously published work [16 (link),17 (link),19 (link),23 (link)]. Some groups deviated from normality based on Shapiro-Wilk or D’Agostino-Pearson tests for normality. Consequently, all the data are reported as median with interquartile range (IQR) and nonparametric statistics were used. To test the difference between the 2-h and 2-day time points in the vitality assay, the two groups were compared using Mann-Whitney U-test. For all the other experiments, the multiple independent groups were analyzed using Kruskal-Wallis One-Way ANOVA followed by Dunn’s test (significance established at p < 0.05).
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