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Sas university edition software version 9.4

Manufactured by SAS Institute
Sourced in United States

SAS University Edition Software (Version 9.4) is a free, fully-functional version of the SAS analytics software. It provides access to the SAS programming language and a range of analytical capabilities, including data manipulation, statistical analysis, and reporting. The software is intended for educational and non-commercial use.

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Lab products found in correlation

2 protocols using sas university edition software version 9.4

1

Binding Affinity Analysis of Compounds

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For binding affinities, data are presented as mean ± standard errors based on analysis in triplicates. Statistical analysis was performed by using the SAS University Edition Software (Version 9.4) (https://www.sas.com/en_us/software/university-edition.html). P-value of less than 0.05 was considered as statistically significant according to Tukey's test.
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2

BDNF Val66Met Polymorphism Effects

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Statistical analyses were performed with SAS University Edition software version 9.4 (SAS Institute, Cary, NC, USA). Data were tested for normality of distribution using the Shapiro-Wilk test. For the pre-post comparisons of the entire sample, paired t-tests were conducted for normally distributed data (with pooled or Satterthwaite approximations when equal and non-equal variances were encountered, respectively), and signed rank test was conducted for non-normally distributed data.
We also performed comparisons between individuals with and without the BDNF Val66Met polymorphism. We assessed normality using the Shapiro-Wilk test. Then, we assessed baseline equivalence using independent-sample t-tests (with pooled or Satterthwaite approximations when equal and non-equal variances were encountered, respectively). None of the outcome measures in this analysis significantly deviated from a normal distribution. We conducted pre-post comparisons between the two subgroups using independent-sample t-tests. All analyses were two-tailed, the level of significance was set to p < 0.05 and we report outcomes using the mean and standard deviation (SD). Pre-post changes that achieved a p-value of at least 0.1 are reported as statistical trends, and in these instances, the median and interquartile ranges are also reported.
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