Email this article SAS Enterprise Guide 6.1 for physicians: getting started
- Authors: Bunenkov N.S.1, Bunenkova G.F.1, Beliy S.A.1, Komok V.V.1, Grinenko O.A.1, Nemkov A.S.1
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Affiliations:
- Pavlov First Saint Petersburg State Medical University
- Issue: Vol 19, No 3 (2019)
- Pages: 27-36
- Section: Lecture
- Published: 26.12.2019
- URL: https://journals.eco-vector.com/MAJ/article/view/15923
- DOI: https://doi.org/10.17816/MAJ19327-36
- ID: 15923
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Abstract
Objective. To develop algorithm of data analysis 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 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. Statistical analysis was performed with SAS Enterprise Guide 6.1.
Results. There was developed algorithm of data analysis of prospective non-randomized clinical trial AMIRI–CABG. 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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About the authors
Nikolay S. Bunenkov
Pavlov First Saint Petersburg State Medical University
Author for correspondence.
Email: bunenkov2006@gmail.com
ORCID iD: 0000-0003-4331-028X
Aspirant, Department of Faculty Surgery
Russian Federation, St. PetersburgGulnara F. Bunenkova
Pavlov First Saint Petersburg State Medical University
Email: gulnara533@gmail.com
Resident, Department of Hospital Therapy
Russian Federation, St. PetersburgSergey A. Beliy
Pavlov First Saint Petersburg State Medical University
Email: sabel1968@mail.ru
ORCID iD: 0000-0002-6415-4389
PhD, cardiac surgeon, Department of Cardiac Surgery #2
Russian Federation, St. PetersburgVladimir V. Komok
Pavlov First Saint Petersburg State Medical University
Email: vladimir_komok@mail.ru
ORCID iD: 0000-0002-3834-7566
PhD, cardiac surgeon, Department of Cardiac Surgery #2
Russian Federation, St. PetersburgOleg A. Grinenko
Pavlov First Saint Petersburg State Medical University
Email: klinika@spb-gmu.ru
MD, vice-rector
Russian Federation, St. PetersburgAlexander S. Nemkov
Pavlov First Saint Petersburg State Medical University
Email: nemk_as@mail.ru
ORCID iD: 0000-0002-5152-0001
Doctor of Medical Science, professor, cardiac surgeon, Chief of Department of Cardiac Surgery #2
Russian Federation, St. PetersburgReferences
- Koretz RL. Assessing the evidence in evidence-based medicine. Nutr Clin Pract. 2019;34(1):60-72. https://doi.org/10.1002/ncp.10227.
- May M. Twenty-five ways clinical trials have changed in the last 25 years. Nat Med. 2019;25(1):2-5. https://doi.org/10.1038/s41591-018-0314-1.
- Гржибовский А. М. Типы данных, проверка распределения и описательная статистика // Экология человека. – 2008. – № 1. – С. 52–58. [Grjibovski АМ. Data types, control of distribution and descriptive statistics. Ecology, human. 2008;(1):52-58. (In Russ.)]
- Dolezel D, McLeod A. Big data analytics in healthcare: investigating the diffusion of innovation. Perspect Health Inf Manag. 2019;16(Summer):1a.
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