Importance of data distribution normality test: theory and practical guide

Yadgarov M.Ya.; Kuzovlev A.N.; Berikashvili L.B.; Baeva A.A.; Likhvantsev V.V.

doi:https://doi.org/10.17116/anaesthesiology2021021136

Yadgarov M.Ya.

Federal Scientific and Clinical Center of Intensive Care and Rehabilitation

ORCID: 0000-0003-3792-1682

Kuzovlev A.N.

Federal Scientific and Clinical Center of Intensive Care and Rehabilitation

SPIN RSCI: 8648-3771
Scopus AuthorID: 35201397900
ResearcherID: F-6462-2017
ORCID: 0000-0002-5930-0118

Berikashvili L.B.

Federal Scientific and Clinical Center of Intensive Care and Rehabilitation

Baeva A.A.

Federal Research and Clinical Center for Intensive Care and Rehabilitation

Likhvantsev V.V.

Federal Scientific and Clinical Center of Intensive Care and Rehabilitation

Importance of data distribution normality test: theory and practical guide

Authors:

Yadgarov M.Ya., Kuzovlev A.N., Berikashvili L.B., Baeva A.A., Likhvantsev V.V.

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Journal: Russian Journal of Anesthesiology and Reanimatology. 2021;(2): 136‑142

DOI: 10.17116/anaesthesiology2021021136

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To cite this article:

Yadgarov MYa, Kuzovlev AN, Berikashvili LB, Baeva AA, Likhvantsev VV. Importance of data distribution normality test: theory and practical guide. Russian Journal of Anesthesiology and Reanimatology. 2021;(2):136‑142. (In Russ.)
https://doi.org/10.17116/anaesthesiology2021021136

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Abstract:

Testing of data distribution normality is an obligatory element of clinical trials and the «cornerstone» of medical statistics. In the second part of a series of the manuscripts on medical statistics, the authors discuss an importance of data distribution normality test regarding the applicability of parametric and non-parametric statistics. Moreover, practical implementation of this stage is presented. The authors substantiate the advantages and disadvantages of parametric criteria and their nonparametric analogues, give the basic recommendations on the use of more powerful parametric statistics in clinical analysis. The manuscript is intended for physicians and researchers taking their first steps in scientific field.

Keywords:

distribution law

parametric criteria

non-parametric criteria

normality criteria

Box-Cox transformation

Authors:

Yadgarov M.Ya.

Federal Scientific and Clinical Center of Intensive Care and Rehabilitation

ORCID: 0000-0003-3792-1682

Kuzovlev A.N.

Federal Scientific and Clinical Center of Intensive Care and Rehabilitation

SPIN RSCI: 8648-3771
Scopus AuthorID: 35201397900
ResearcherID: F-6462-2017
ORCID: 0000-0002-5930-0118

Berikashvili L.B.

Federal Scientific and Clinical Center of Intensive Care and Rehabilitation

Baeva A.A.

Federal Research and Clinical Center for Intensive Care and Rehabilitation

Likhvantsev V.V.

Federal Scientific and Clinical Center of Intensive Care and Rehabilitation

Received:

11.09.2020

Accepted:

06.10.2020

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References:

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