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Sas software 9.1 version

Manufactured by SAS Institute
Sourced in United States

SAS software 9.1 version is a comprehensive data analysis and statistical software package. It provides a range of tools for data management, analysis, and reporting. The software is designed to handle large and complex datasets, and offers a variety of statistical techniques, including regression analysis, ANOVA, and multivariate methods.

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Lab products found in correlation

3 protocols using sas software 9.1 version

1

Endo-Ease vs NS for Endoscopic Resection

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This study was designed with a level of significance of α=0.05 and a detection power of 1-β=0.8 to test the superiority of Endo-Ease compared with NS for lifting and maintaining the submucosa during ER. The calculated sample size was 78 patients for gastric neoplasms and 86 patients for colorectal neoplasms.
The data were analyzed with SAS software 9.1 version (SAS Institute, Cary, NC, USA). Clinical usefulness was assessed by using intention-to-treat analysis and as treated analysis, with the intention-to-treat analysis as the primary method. Continuous variables were compared with Student unpaired t-test or Wilcoxon rank sum test. The chi-square test or Fisher exact test was used for categorical variables. A p<0.05 was considered statistically significant.
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2

Longitudinal Analysis of Surgical Outcomes

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Patients were categorized into Group I (procedures between 2003 and 2006) and Group II (procedures between 2007 and 2012). Statistical analysis was performed using SAS software 9.1 version.
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3

Sensory Evaluation of Food Product

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Sensory evaluation test was carried out with a group containing 10 educated panelists. All evaluations were done through Single Stimulus method and five scores hedonic tests. The prepared questionnaires with four questions were asked to everyone and for every question there were five options. The proposed questions were color acceptance, odor and flavor, appearance shape, and chewiness (texture crispiness). Every one marked as own self taste one of choice such as very good, good, fair, poor, and very poor. Finally, scoring was done for every choice separately (very good = 5, good = 4, fair = 3, poor = 2, and very poor = 1). In this research, multiple Duncan's test in 0.01 level was analyzed with SAS software 9.1 version (Lawless & Heymann, 2010).
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