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Sas statistical analysis software package

Manufactured by SAS Institute
Sourced in United States

SAS statistical analysis software package is a comprehensive suite of applications designed for data management, analysis, and visualization. It provides a robust set of tools for conducting statistical analyses, predictive modeling, and reporting. The software is widely used across various industries and research domains to gain insights from complex data.

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Lab products found in correlation

4 protocols using sas statistical analysis software package

1

Feasibility Assessment of Video-Recorded Interactions

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Completed CITE-I forms were submitted to the Office of Data Management for double key entry into an electronic spreadsheet once all video-recordings in an analytic set were evaluated. Tally marks were counted twice and entered as a total for each category by the evaluator, with these sums double checked by data entry personnel. Data were organized by participant ID number, treatment date, and treatment visit number. Participant treatment believability items were data entered at the time of the pilot RCT. Data were analyzed using the SAS statistical analysis software package (Version 9.2, SAS Institute Inc., Cary, North Carolina, USA). We report simple descriptive statistics (median, interquartile ranges [IQR], and/or number and percentage) to characterize our sample of video-recordings. Formal statistical tests of significance were not appropriate at this stage of instrument development as our primary aim was to assess whether video-recordings were a feasible means of evaluating doctor-patient interactions and not to test hypotheses based on those interactions.
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2

Walnut Supplementation Impact on Diet

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The mean and standard deviations of the seven diet recalls were calculated. After a normality check, a paired t-test was used to compare intakes during the habitual and walnut-supplemented diet periods, and independent sample t test to compare between males and females. Displacement of any food or nutrient was calculated by subtracting the observed intake of that nutrient/food in the supplemented diet from the expected intake of that nutrient/food, after which the percentage of displacement was calculated accordingly. All analyses were performed using SAS statistical analysis software package, version 9.3 (SAS Institute Inc., Cary, NC, USA). A p value < 0.05 was considered as statistically significant.
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3

Comparative Analysis of Bioactive Compounds

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Data were analyzed by ANOVA using the general linear-models procedure of the SAS statistical analysis software package (Version 8, 1999, SAS Institute Inc.), and means were compared using the Tukey test. Differences in all experiments were considered significant at P < 0.05. The experiment was performed in duplicates and repeated 2 times with a total number of 4 replicates for each of the experiment.
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4

Cytokine-Induced Myotube Atrophy

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In human myotubes stimulated by TNF-α at 24 h, the expression level of MAFbx mRNA was significantly increased after the addition of 0.1 ng/mL and 1 ng/ mL of TNF-α and that of MuRF1 mRNA was significantly increased after the addition of TNF-α. The expression of IGF-1 was also significantly increased by the addition of 10 ng/mL of TNF-α (Fig. 4A). The expression of TNF-α was not increased by 0.1 and 1 ng/mL of TNF-α, but it was significantly increased ing Ingenuity Pathway Analysis (IPA; Redwood City, CA, USA; accessed on August 22, 2014) . A gene symbol of the fold change > 1 (log2) was shown as up-regulation (red). Gene symbols of the fold change < -1 (log2) were shown as down-regulation (green) in the graphical representation.
Statistical analysis. All data are shown as means ± standard deviation (SD). Data were analyzed by unpaired t-tests, Dunnett's multiple comparisons, or Tukey's multiple comparisons using the SAS statistical analysis software package (SAS Institute Japan, Tokyo, Japan). A value of P < 0.05 was considered significant in all statistical analyses.
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