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确定营养研究中动物模型研究的样本量充足性:普通功效计算程序的局限性和伦理挑战。

Determining sample size adequacy for animal model studies in nutrition research: limits and ethical challenges of ordinary power calculation procedures.

机构信息

Centre of Excellence for Nutrition (CEN), North-West University, Potchefstroom, South Africa.

出版信息

Int J Food Sci Nutr. 2020 Mar;71(2):256-264. doi: 10.1080/09637486.2019.1646714. Epub 2019 Aug 5.

Abstract

Animal models are widely used in the field of nutrition research. Scientifically and ethically sound experiments need an adequate number of experimental units. The use of 5-10 units is common, but such sample sizes can be justified for large effect sizes only. We reviewed animal model studies recently published in selected journals in the field of nutrition sciences. We performed a simulation study aimed at determining the adequate sample size for normality assessment. We then performed power calculations for a number of statistical tests commonly found in rodent model studies in nutrition research. Among the selected papers, sample sizes ranged from 6-18 units per group. None of them justified the sample size. However, such sample sizes do not allow for normality testing, thus, graphical approaches should be used. Parametric approaches result in higher statistical power when compared to their non-parametric counterparts. Repeated measures analysis should always be preferred, when possible.

摘要

动物模型在营养研究领域被广泛应用。科学和伦理健全的实验需要足够数量的实验单位。通常使用 5-10 个单位,但只有在效应量较大的情况下,这种样本量才具有合理性。我们最近对营养科学领域的一些选定期刊上发表的动物模型研究进行了综述。我们进行了一项模拟研究,旨在确定用于正态性评估的适当样本量。然后,我们针对营养研究中啮齿动物模型研究中常见的许多统计检验进行了功效计算。在所选择的论文中,每组的样本量范围为 6-18 个单位。它们都没有证明样本量的合理性。然而,这样的样本量不允许进行正态性检验,因此应该使用图形方法。与非参数方法相比,参数方法具有更高的统计功效。当可能时,应始终优先选择重复测量分析。

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