Treatment randomisation at animal or pen level? : Statistical analysis should follow the randomisation pattern!

IF 1.3 4区 农林科学 Q2 VETERINARY SCIENCES Laboratory Animals Pub Date : 2024-08-19 DOI:10.1177/00236772241247274
Luc Duchateau, Robrecht Dockx, Klara Goethals, Matthijs Vynck, Frédéric Vangroenweghe, Christian Burvenich
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Abstract

Random treatment assignment is essential in demonstrating a causal relationship between a treatment and the outcome of interest. Randomisation ensures that animals assigned to different treatment groups do not differ from each other systematically, except for the randomly assigned treatment. The randomisation pattern should also dictate the statistical analysis.

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在动物或栏的层面上进行治疗随机化? 统计分析应遵循随机化模式!
随机治疗分配对于证明治疗与相关结果之间的因果关系至关重要。随机分配可确保被分配到不同治疗组的动物之间除了随机分配的治疗外没有系统性差异。随机分配模式还应决定统计分析。
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来源期刊
Laboratory Animals
Laboratory Animals 生物-动物学
CiteScore
4.90
自引率
8.30%
发文量
64
审稿时长
6-12 weeks
期刊介绍: The international journal of laboratory animal science and welfare, Laboratory Animals publishes peer-reviewed original papers and reviews on all aspects of the use of animals in biomedical research. The journal promotes improvements in the welfare or well-being of the animals used, it particularly focuses on research that reduces the number of animals used or which replaces animal models with in vitro alternatives.
期刊最新文献
Half the price, twice the gain: How to simultaneously decrease animal numbers and increase precision with good experimental design. Heterogeneity of animal experiments and how to deal with it. How cage effects can hurt statistical analyses of completely randomized designs. Simulation methodologies to determine statistical power in laboratory animal research studies. Understanding p-values and significance.
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