SAS Enterprise Guide 6.1 for physicians: correlation analysis

Nikolay S. Bunenkov; Gulnara F. Bunenkova; Vladimir V. Komok; Oleg A. Grinenko; Alexander S. Nemkov

doi:10.17816/MAJ17737

Medical academic journal ›› 2020, Vol. 20 ›› Issue (1) : 51 -56. DOI: 10.17816/MAJ17737

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SAS Enterprise Guide 6.1 for physicians: correlation analysis

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Abstract

Objective: to develop algorithm of correlation analysis of prospective non-randomized clinical trial AMIRI–CABG (ClinicalTrials.gov Identifier: NCT03050489) data using SAS Enterprise Guide 6.1.

Materials and methods. Data collection was performed according prospective non-randomized clinical trial AMIRI–CABG (ClinicalTrials.gov Identifier: NCT03050489) in Pavlov First Saint Petersburg State Medical University, Saint Petersburg, Russia between 2016–2019 years with 336 patients. There is database with clinical, laboratory and instrumental data. Correlation analysis was performed with SAS Enterprise Guide 6.1.

Results. There was developed algorithm of correlation analysis data of prospective non-randomized clinical trial AMIRI–CABG (ClinicalTrials.gov Identifier: NCT03050489). This algorithm could be useful for physicians and researchers for data analysis.

Conclusion. Presented algorithm of correlation analysis could make easier and improve efficient data analysis with SAS Enterprise Guide 6.1.

Keywords

SAS Enterprise Guide 6.1 / statistical analysis / clinical trials / correlation analysis / Pearson coefficient correlation / Spearman coefficient correlation

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Nikolay S. Bunenkov, Gulnara F. Bunenkova, Vladimir V. Komok, Oleg A. Grinenko, Alexander S. Nemkov. SAS Enterprise Guide 6.1 for physicians: correlation analysis. Medical academic journal, 2020, 20(1): 51-56 DOI:10.17816/MAJ17737

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