Sas statistical software system version 9

Manufactured by SAS Institute

Sourced in United States

SAS® statistical software system version 9.3 is a comprehensive software package designed for advanced data analysis and statistical modeling. It provides a wide range of statistical procedures, data manipulation tools, and advanced analytics capabilities. The software is designed to handle large and complex data sets, enabling users to perform advanced statistical analyses, generate reports, and create visualizations.

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R version 3, by R Project for Statistical Computing (1 mentions)

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3 protocols using sas statistical software system version 9

Hierarchical Clustering of IgE Binding

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All statistical analysis was performed using the SAS^® statistical software system version 9.3 (SAS Institute Inc., Cary US) and R version 3.2.3 (R Foundation for Statistical Computing, Vienna, Austria). All statistical tests were two-sided and a significance level of < 0.05 was regarded as statistically significant. Fischer’s exact test was used to compare prevalences across groups.
Cluster analysis was performed on the IgE binding categories for all samples. Clustering was performed using sparse hierarchical clustering with complete linkage, as implemented in the R package sparcl, where the tuning parameter controlling the number of features was determined as the value providing the largest Gap statistic [18 (link)].

Sterner T., Uldahl A., Svensson Å., Borres M.P., Sjölander S., Tunsäter A., Björk J., Svedman C., Bruze M., von Kobyletzki L, & Kiotseridis H. (2019). IgE sensitization in a cohort of adolescents in southern Sweden and its relation to allergic symptoms. Clinical and Molecular Allergy : CMA, 17, 6.

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Atopic Symptom Comparison Protocol

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All statistical analyses were performed using the SAS^® statistical software system version 9.3 (SAS Institute Inc., Cary, US). All statistical tests were two-sided and a significance level of <0.05 was regarded as statistically significant. The chi-square test or, when appropriate, Fischer’s exact test were used to compare proportions. Mann–Whitney-nonparametric test was used to compare the atopic and non-atopic group on the basis of clinical symptoms referred. Odds ratios with 95 % confidence interval were calculated using SAS: Proc Freq / chisq relrisk option.

Fiocchi A., Pecora V., Petersson C.J., Dahdah L., Borres M.P., Amengual M.J., Huss-Marp J., Mazzina O, & Di Girolamo F. (2015). Sensitization pattern to inhalant and food allergens in symptomatic children at first evaluation. Italian Journal of Pediatrics, 41, 96.

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Sociodemographic Characteristics of COPD Patients

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A descriptive analysis of the sociodemographic characteristics of the whole population with COPD was made. First, a descriptive and comparative analysis of the ACOS and non-ACOS groups was performed, followed by a descriptive and comparative analysis of the ACOS patients divided into two subgroups according to the different diagnostic criteria used. Comparison of qualitative variables was performed using χ² tests, and quantitative variables by Student’s t-test if they had a normal distribution, or the Mann–Whitney U-test if the variables did not follow a normal distribution.
Comparisons among the scores of the CAT, EQ-5D, HADS, and COPDSS scales between ACOS 1 and 2 were evaluated by linear regression models and logistic regression models adjusted by FEV₁(%) and the number of exacerbations in the previous year. All statistical analyses were performed using the SAS^® statistical software system version 9.3 (SAS Institute Inc., Cary, NC, USA); values were considered significant with a bilateral P<0.05.

Barrecheguren M., Román-Rodríguez M, & Miravitlles M. (2015). Is a previous diagnosis of asthma a reliable criterion for asthma–COPD overlap syndrome in a patient with COPD?. International Journal of Chronic Obstructive Pulmonary Disease, 10, 1745-1752.

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