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Sas for windows version 6

Manufactured by SAS Institute
Sourced in United States

SAS for Windows version 6.9.4 is a software application that provides data analysis and statistical computing capabilities for Windows operating systems. It allows users to manage, analyze, and present data through a variety of tools and functionalities.

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Lab products found in correlation

2 protocols using sas for windows version 6

1

Evaluation of an Anti-Glycemic Medication

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The statistical analysis was performed with SAS for Windows version 6.9.4 (SAS Institute, Cary, NC). Results are presented as numbers and percentages for categorical variables while means ± standard deviations (SD) for continuous variables. A full analysis set (FAS) was used for statistical analysis. The changes from baseline to 12 weeks were compared using paired t-tests in each AGM and placebo group. The changed values from baseline to 12-week were analyzed between the AGM and placebo groups using an independent t-test. The analysis of covariance (ANCOVA) test was used to assess the changed values from baseline to 12 weeks between the AGM and placebo groups after adjusting with body weight at baseline. Frequencies of adverse events in the two treatment groups were evaluated using a chi-square test. Statistical significance was accepted for p values < 0.05.
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2

Crossover Study of Continuous Variables

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A statistical analysis was conducted using SAS for Windows version 6.9.4 (SAS Institute, Cary, NC, USA). Results are presented as numbers and percentages for categorical variables and as mean ± standard deviations for continuous variables. The normal distribution of each continuous variable was confirmed in pooled data by Proc Univariate. Baseline data were analyzed before each intervention using a two-sample t-test for continuous variables and a chi-squared test for categorical variables. The changes of various variables before and after each intervention were analyzed by paired t-test. After the four-week intervention between the four-week washout periods, the results were analyzed via Proc mixed with adjustment for age, since this study was a crossover design. Statistical significance was set at p < 0.05.
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