The field of in-vivo neurophysiology currently uses statistical standards that are based on tradition rather than formal analysis. Typically, data from two (or few) animals are pooled for one statistical test, or a significant test in a first animal is replicated in one (or few) further animals. The use of more than one animal is widely believed to allow an inference on the population. Here, we explain that a useful inference on the population would require larger numbers and a different statistical approach. The field should consider to perform studies at that standard, potentially through coordinated multi-center efforts, for selected questions of exceptional importance. Yet, for many questions, this is ethically and/or economically not justifiable. We explain why in those studies with two (or few) animals, any useful inference is limited to the sample of investigated animals, irrespective of whether it is based on few animals, two animals or a single animal.
翻译:活体神经生理学领域目前使用基于传统而不是正式分析的统计标准。通常,两种(或少数)动物的数据集中用于一次统计测试,或者在另一种(或少数)动物中复制第一种动物的重要测试。使用一种以上的动物被广泛认为可以推断出人口。这里我们解释说,对人口进行有用的推论需要更多和不同的统计方法。这个领域应考虑按照这一标准开展研究,可能通过协调的多中心努力,研究某些特别重要的问题。然而,对于许多问题来说,这在伦理和/或经济上是没有道理的。我们解释为什么在对两种(或少数)动物的研究中,任何有用的推论都限于被调查动物的样本,而不论这种推断是基于少数动物、两种动物还是单一动物。