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实验室动物研究人员统计学指南:要点

Guidelines on statistics for researchers using laboratory animals: the essentials.

作者信息

Gosselin Romain-Daniel

机构信息

1 Biotelligences LLC, Lausanne, Switzerland.

2 Precision Medicine Unit, Lausanne University Hospital (CHUV), Switzerland.

出版信息

Lab Anim. 2019 Feb;53(1):28-42. doi: 10.1177/0023677218783223. Epub 2018 Jun 28.

Abstract

There is growing concern that the omnipresence of flawed statistics and the deficient reproducibility that arises therefrom results in an unethical waste of animals in research. The present review aims at providing guidelines in biostatistics for researchers, based on observed frequent mistakes, misuses and misconceptions as well as on the specificities of animal experimentation. Twelve recommendations are formulated that cover sampling, sample size optimisation, choice of statistical tests, understanding p-values and reporting results. The objective is to expose important statistical issues that one should consider for the correct design, execution and reporting of experiments.

摘要

人们越来越担心,有缺陷的统计数据无处不在,以及由此产生的可重复性不足,导致研究中对动物进行不道德的浪费。本综述旨在根据观察到的常见错误、误用和误解以及动物实验的特殊性,为研究人员提供生物统计学方面的指导方针。制定了十二条建议,涵盖抽样、样本量优化、统计检验的选择、对p值的理解以及结果报告。目的是揭示在正确设计、实施和报告实验时应考虑的重要统计问题。

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