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毒理学期刊中目前使用的统计学方法分析。

Analysis of Statistical Methods Currently used in Toxicology Journals.

机构信息

College of Pharmacy, Ewha Womans University, Seoul, Korea.

出版信息

Toxicol Res. 2014 Sep;30(3):185-92. doi: 10.5487/TR.2014.30.3.185.

Abstract

Statistical methods are frequently used in toxicology, yet it is not clear whether the methods employed by the studies are used consistently and conducted based on sound statistical grounds. The purpose of this paper is to describe statistical methods used in top toxicology journals. More specifically, we sampled 30 papers published in 2014 from Toxicology and Applied Pharmacology, Archives of Toxicology, and Toxicological Science and described methodologies used to provide descriptive and inferential statistics. One hundred thirteen endpoints were observed in those 30 papers, and most studies had sample size less than 10, with the median and the mode being 6 and 3 & 6, respectively. Mean (105/113, 93%) was dominantly used to measure central tendency, and standard error of the mean (64/113, 57%) and standard deviation (39/113, 34%) were used to measure dispersion, while few studies provide justifications regarding why the methods being selected. Inferential statistics were frequently conducted (93/113, 82%), with one-way ANOVA being most popular (52/93, 56%), yet few studies conducted either normality or equal variance test. These results suggest that more consistent and appropriate use of statistical method is necessary which may enhance the role of toxicology in public health.

摘要

统计学方法在毒理学中经常被使用,但是不清楚这些研究中使用的方法是否被一致地使用并且基于可靠的统计学依据。本文的目的是描述毒理学杂志中使用的统计学方法。更具体地说,我们从《毒理学与应用药理学》、《毒理学档案》和《毒理学科学》杂志中抽取了 2014 年发表的 30 篇论文,并描述了用于提供描述性和推断性统计的方法。在这 30 篇论文中观察到了 113 个终点,大多数研究的样本量小于 10,中位数和众数分别为 6 和 3 & 6。均值(105/113,93%)主要用于测量集中趋势,而均数的标准误差(64/113,57%)和标准差(39/113,34%)用于测量离散度,而很少有研究对选择这些方法的原因进行解释。推断性统计经常进行(93/113,82%),其中最常用的是单因素方差分析(52/93,56%),但很少有研究进行正态性或方差齐性检验。这些结果表明,需要更一致和适当的统计学方法的使用,这可能会增强毒理学在公共卫生中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/feff/4206745/05c9fd354a38/toxicr-30-185-g0001.jpg

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