Objective: to develop algorithm of multiple comparisons data of prospective non-randomized clinical trial AMIRI CABG (ClinicalTrials.gov Identifier: NCT03050489) 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 1Pavlov First St. Petersburg State Medical University, Saint-Petersburg, Russia between 2016-2019 years with 336 patients. There is database with clinical, laboratory and instrumental data. Multiple comparisons test was performed with SAS Enterprise Guide 6.1. Results. There was developed algorithm of multiple comparisons 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 data analysis could make easier and improve efficient data analysis. SAS Enterprise Guide 6.1 allows fast and accurate process data Key words: SAS Enterprise Guide 6.1, statistical analysis, clinical trials, multiple comparisons, Bonferroni adjustment, Kruskal-Wallis test, Wilcoxon test, Tukey test.
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