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COVID-19 research: quality of biostatistics
INTRODUCTION: In recent years, unfortunately, low quality of statistical analyses in medicine has been observed. As it turns out, this also applies to COVID-19 subject matter. METHODS: The study included 2600 medical articles published between the beginning of 2020 and June 2021, in which the author...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Termedia Publishing House
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826691/ https://www.ncbi.nlm.nih.gov/pubmed/35154545 http://dx.doi.org/10.5114/aoms/144644 |
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author | Ordak, Michal |
author_facet | Ordak, Michal |
author_sort | Ordak, Michal |
collection | PubMed |
description | INTRODUCTION: In recent years, unfortunately, low quality of statistical analyses in medicine has been observed. As it turns out, this also applies to COVID-19 subject matter. METHODS: The study included 2600 medical articles published between the beginning of 2020 and June 2021, in which the authors described the obtained results, i.e. related to COVID-19. RESULTS: Of the analysed articles, 39% were correct in terms of the statistical analysis performed. CONCLUSIONS: There should be more emphasis on conducting statistical reviews in authors’ contributions on various aspects of COVID-19. |
format | Online Article Text |
id | pubmed-8826691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Termedia Publishing House |
record_format | MEDLINE/PubMed |
spelling | pubmed-88266912022-02-11 COVID-19 research: quality of biostatistics Ordak, Michal Arch Med Sci Research Letter INTRODUCTION: In recent years, unfortunately, low quality of statistical analyses in medicine has been observed. As it turns out, this also applies to COVID-19 subject matter. METHODS: The study included 2600 medical articles published between the beginning of 2020 and June 2021, in which the authors described the obtained results, i.e. related to COVID-19. RESULTS: Of the analysed articles, 39% were correct in terms of the statistical analysis performed. CONCLUSIONS: There should be more emphasis on conducting statistical reviews in authors’ contributions on various aspects of COVID-19. Termedia Publishing House 2021-12-08 /pmc/articles/PMC8826691/ /pubmed/35154545 http://dx.doi.org/10.5114/aoms/144644 Text en Copyright: © 2021 Termedia & Banach https://creativecommons.org/licenses/by-nc-sa/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license. |
spellingShingle | Research Letter Ordak, Michal COVID-19 research: quality of biostatistics |
title | COVID-19 research: quality of biostatistics |
title_full | COVID-19 research: quality of biostatistics |
title_fullStr | COVID-19 research: quality of biostatistics |
title_full_unstemmed | COVID-19 research: quality of biostatistics |
title_short | COVID-19 research: quality of biostatistics |
title_sort | covid-19 research: quality of biostatistics |
topic | Research Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826691/ https://www.ncbi.nlm.nih.gov/pubmed/35154545 http://dx.doi.org/10.5114/aoms/144644 |
work_keys_str_mv | AT ordakmichal covid19researchqualityofbiostatistics |