Festing Michael Fw
Medical Research Council Toxicology Unit, University of Leicester, UK.
Lab Anim. 2018 Aug;52(4):341-350. doi: 10.1177/0023677217738268. Epub 2018 Jan 8.
Scientists using laboratory animals are under increasing pressure to justify their sample sizes using a "power analysis". In this paper I review the three methods currently used to determine sample size: "tradition" or "common sense", the "resource equation" and the "power analysis". I explain how, using the "KISS" approach, scientists can make a provisional choice of sample size using any method, and then easily estimate the effect size likely to be detectable according to a power analysis. Should they want to be able to detect a smaller effect they can increase their provisional sample size and recalculate the effect size. This is simple, does not need any software and provides justification for the sample size in the terms used in a power analysis.
使用实验动物的科学家们面临着越来越大的压力，需要用“功效分析”来证明其样本量的合理性。在本文中，我回顾了目前用于确定样本量的三种方法：“传统”或“常识”、“资源方程”和“功效分析”。我解释了科学家如何使用“保持简单（KISS）”方法，通过任何一种方法初步选择样本量，然后根据功效分析轻松估计可能检测到的效应大小。如果他们希望能够检测到更小的效应，可以增加初步样本量并重新计算效应大小。这很简单，不需要任何软件，并且能以功效分析中使用的术语为样本量提供依据。
