新型冠状病毒肺炎研究：生物统计学质量
COVID-19 research: quality of biostatistics.
作者信息
Ordak Michal
机构信息
Department of Pharmacodynamics, Centre for Preclinical Research and Technology (CePT), Medical University of Warsaw, Warsaw, Poland.
出版信息
Arch Med Sci. 2021 Dec 8;18(1):257-259. doi: 10.5114/aoms/144644. eCollection 2022.
Abstract
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.
摘要
引言
遗憾的是，近年来医学领域的统计分析质量较低。事实证明，这也适用于新冠病毒相关主题。
方法
该研究纳入了2020年初至2021年6月期间发表的2600篇医学文章，作者在这些文章中描述了所获得的结果，即与新冠病毒相关的结果。
结果
在所分析的文章中，39%在进行的统计分析方面是正确的。
结论
应更加重视对作者关于新冠病毒各个方面的贡献进行统计审查。
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