Bird Alexander D, Jedlicka Peter, Wilhelm Jochen
Computer-Based Modelling in the field of 3R Animal Protection, ICAR3R, Faculty of Medicine, Justus Liebig University, Giessen, Germany.
Ernst Strüngmann Institute (ESI) for Neuroscience in cooperation with the Max Planck Society, Frankfurt-am-Main, Germany.
ALTEX. 2025;42(3):531-535. doi: 10.14573/altex.2408141. Epub 2025 Apr 9.
Reducing the number of animals required for a given experiment is part of the 3Rs strategies for animal welfare. Sample size estimation is a critical step in efficient and ethical experimental design. It is generally believed that pilot studies can be used to estimate sample sizes, which could lead to an overall reduction in the number of animals used. As part of the standard approach to ensuring that a planned animal experiment has sufficient statistical power, estimates of effect size and population variance are required. Here we derive the distribution of the sample size estimator when both effect size and variance are unknown. We show that, in this case, it is not feasible to conduct a preliminary pilot study to estimate the required sample size. Our analysis indicates that the sample size of a useful pilot study will often be much larger than that of the main study itself when the effect size is unknown. Therefore, we conclude that performing pilot studies with the aim of estimating sample size will not help to minimize the overall number of animal experiments in basic or pre-clinical research. A practical example is given, and alternative approaches are proposed and discussed.
减少特定实验所需动物数量是动物福利3R策略的一部分。样本量估计是高效且符合伦理的实验设计中的关键步骤。人们普遍认为先导研究可用于估计样本量,这可能会导致所用动物数量的总体减少。作为确保计划中的动物实验具有足够统计效力的标准方法的一部分,需要估计效应大小和总体方差。在此,我们推导了效应大小和方差均未知时样本量估计器的分布。我们表明,在这种情况下,进行初步先导研究以估计所需样本量是不可行的。我们的分析表明,当效应大小未知时,有用的先导研究的样本量通常会比主要研究本身的样本量大得多。因此,我们得出结论,旨在估计样本量而进行先导研究无助于将基础或临床前研究中动物实验的总数降至最低。文中给出了一个实际例子,并提出和讨论了替代方法。