Arifin Wan Nor, Zahiruddin Wan Mohd
Unit of Biostatistics and Research Methodology, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia.
Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia.
Malays J Med Sci. 2017 Oct;24(5):101-105. doi: 10.21315/mjms2017.24.5.11. Epub 2017 Oct 26.
Animal research plays an important role in the pre-clinical phase of clinical trials. In animal studies, the power analysis approach to sample size calculation is recommended. Whenever it is not possible to assume the standard deviation and the effect size, an alternative to the power analysis approach is the 'resource equation' approach, which sets the acceptable range of the error degrees of freedom (DF) in an analysis of variance (ANOVA). The aim of this article is to guide researchers in calculating the minimum and maximum numbers of animals required in animal research by reformulating the error DF formulas.
动物研究在临床试验的临床前阶段起着重要作用。在动物研究中，推荐采用功效分析方法来计算样本量。当无法假定标准差和效应大小时，功效分析方法的一种替代方法是“资源方程”方法，该方法在方差分析（ANOVA）中设定误差自由度（DF）的可接受范围。本文的目的是通过重新制定误差DF公式，指导研究人员计算动物研究中所需动物的最小和最大数量。
