样本量测定
正态性
统计能力
样品(材料)
统计
参数统计
领域(数学)
计算机科学
统计假设检验
计量经济学
数学
色谱法
化学
纯数学
作者
Cristian Ricci,Jeannine Baumgartner,Linda Malan,Cornelius M. Smuts
标识
DOI:10.1080/09637486.2019.1646714
摘要
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.
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