Abstract
Objective. To develop algorithm of data analysis of prospective non-randomized clinical trial AMIRICABG (ClinicalTrials.gov Identifier: NCT03050489) using SAS Enterprise Guide 6.1.
 Materials and methods. Data collection was performed according prospective non-randomized clinical trial AMIRICABG in Pavlov First Saint Petersburg State Medical University, Saint Petersburg, Russia between 20162019 years with 336 patients. There is database with clinical, laboratory and instrumental data. Statistical analysis was performed with SAS Enterprise Guide 6.1.
 Results. There was developed algorithm of data analysis of prospective non-randomized clinical trial AMIRICABG. 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 big data.
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