Optimization of statistical processing of clinical and laboratory data in acute poisoning
- Authors: El’kov A.N.1,2, Gol’dfarb Y.S.1,2, Potskhveriya M.M.1,2, Badalyan A.V.1,2
-
Affiliations:
- Sklifosovsky Research Institute for Emergency Medicine, Public Healthcare Institution of Moscow Healthcare Department
- Russian Medical Academy of Continuous Professional Education, RF Ministry of Health
- Issue: No 2 (2021)
- Pages: 14-22
- Section: Articles
- Published: 04.05.2021
- URL: https://rjsocmed.com/0869-7922/article/view/641279
- DOI: https://doi.org/10.36946/0869-7922-2021-2-14-22
- ID: 641279
Cite item
Full Text
Abstract
The article describes a specialized software application developed by the authors that summarizes the long-term experience of analyzing clinical and laboratory data in clinical toxicology using Microsoft’s Visual Basic for Applications object-oriented programming tools in Excel. The main purpose of the application is a significant (5-10 times) acceleration of the implementation of the complex of the most commonly used statistical algorithms. The application calculates descriptive sample characteristics, identifies deviations of sample distributions from the normal law by several generally accepted criteria, performs statistical comparison of data matrices by several criteria, and automatically generates a number of tables ready for placement in scientific texts for various purposes in Microsoft Word format. The presentation of the output data makes it easy to verify the results of calculations by comparing them with the output forms of the Statistica application software package. The acceleration of obtaining the final result is achieved: 1 – due to the absence of the need to move data from Excel to the package of applied statistical programs; 2 – as a result of automating the determination of task parameters by means of special color markup; 3 – by combining a limited number of the most commonly used statistical methods into one immutable complex; 4 – as a result of the software implementation of statistical comparison of all possible combinations of data matrices involved in the study for a set of indicators as a single operation that does not require user intervention; 5 – due to the application’s use of syntactic transformations of output data and automatic table formation by filling in ready-made templates with calculation results.
About the authors
A. N. El’kov
Sklifosovsky Research Institute for Emergency Medicine, Public Healthcare Institution of Moscow Healthcare Department; Russian Medical Academy of Continuous Professional Education, RF Ministry of Health
Author for correspondence.
Email: 2bobika@mail.ru
El’kov Aleksandr Nikаnorovich
129090, Moscow
125993, Moscow
Yu. S. Gol’dfarb
Sklifosovsky Research Institute for Emergency Medicine, Public Healthcare Institution of Moscow Healthcare Department; Russian Medical Academy of Continuous Professional Education, RF Ministry of Health
Email: goldfarb@mail.ru
Gol’dfarb Yuriy Semenovich
129090, Moscow
125993, Moscow
M. M. Potskhveriya
Sklifosovsky Research Institute for Emergency Medicine, Public Healthcare Institution of Moscow Healthcare Department; Russian Medical Academy of Continuous Professional Education, RF Ministry of Health
Email: potskhveriya@mail.ru
Potskhveriya Mikhail Mikhailovich
129090, Moscow
125993, Moscow
A. V. Badalyan
Sklifosovsky Research Institute for Emergency Medicine, Public Healthcare Institution of Moscow Healthcare Department; Russian Medical Academy of Continuous Professional Education, RF Ministry of Health
Email: drbadalian@mail.ru
Badalyan Amayak Vazgenovich
129090, Moscow
125993, Moscow
References
- Makarova N.V. Statistical analysis of biomedical data using statistical software packages Statistica, SPSS, NCSS, SYSTAT. Saint-Petersburg: Politekhnika-servis; 2012 (in Russian).
- Borovikov V.P. A popular introduction to modern data analysis in the system STATISTICA. Moscow: Telekom; 2013 (in Russian).
- Khalafyan A.A. Modern statistical methods of medical research. 3rd ed.. Moscow: LENAND; 2014 (in Russian).
- Lapach S.N., Chubenko A.V., Babich P.N. Statistical methods in biomedical research using Excel. Kiev: MORION; 2001 (in Russian).
- Glushakov A.I. The use of statistical programs and methods in biomedical research. Kazan Medical Journal. 2009; 90(4): 550–555 (in Russian).
- Prosvetov G.I. Data Analysis with Excel: Tasks and Solutions. Moscow: Al’fa-Press; 2018 (in Russian).
- Unguryanu T.N., Grzhibovskiy A.M. Stata Statistical Processing Software: Introduction. Human Ecology. 2014; (1):60–63 (in Russian).
- Mikheev R.N. VBA and programming in MS OFFICE for users. Saint-Petersburg: BHV-Petersburg; 2006 (in Russian).
- Statistical methods. Checking the deviation of the probability distribution from the normal distribution: Resolution of the State Standard of the Russian Federation of January 22, 2002 No. 25-art. Moscow: Gosstandart of the Russian Federation; 2002 (in Russian).
- Lemeshko B.Yu., Lemeshko S.B. Comparative analysis of the criteria for checking the deviation of the distribution from the normal law. Metrology. 2005; (2):3–23. (in Russian)
- Kobzar’ A.I. Applied Mathematical Statistics. For engineers and scientists. 2nd ed., rev. Moscow: Fizmatlit; 2012 (in Russian).
- Gaydyshev I. Analysis and data processing. Special reference. SaintPetersburg: Piter; 2001 (in Russian).
- Runion R. Handbook of Nonparametric Statistics: Modern approach. Moscow: Finance and Statistics; 1982 (in Russian).
- Brandt Z. Statistical and computational methods for scientists and engineers: transl. from english. Moscow: Mir; AST; 2003 (in Russian).
- Mann H.B., Whitney D.R. On a test of whether one of two random variables is stochastically larger than the other. Ann. Math. Statist. 1947; 18(1): 50-60.
- Badalyan A.V., Gol’dfarb Yu.S., El’kov A.N., Bitkova E.E., Borovkova N.V., Klychnikova E.V. Using factor analysis to assess the effectiveness of the treatment of acute poisoning at the rehabilitation stage. Toxicological Review. 2017; (6): 17–30 (in Russian).
- Badalyan A.V., Gol’dfarb Yu.S., Potskhveriya M.M., Godkov M.A., El’kov A.N., Bitkova E.E., et al. The use of cluster analysis to assess the effectiveness of the rehabilitation treatment of acute poisoning. Toxicological Review. 2018; (3): 2–17 (in Russian).
Supplementary files
