Zhang Xinlian, Hartmann Phillipp
Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States.
Department of Pediatrics, University of California, San Diego, La Jolla, CA, United States.
Front Med (Lausanne). 2023 Aug 17;10:1215927. doi: 10.3389/fmed.2023.1215927. eCollection 2023.
One of the most important statistical analyses when designing animal and human studies is the calculation of the required sample size. In this review, we define central terms in the context of sample size determination, including mean, standard deviation, statistical hypothesis testing, type I/II error, power, direction of effect, effect size, expected attrition, corrected sample size, and allocation ratio. We also provide practical examples of sample size calculations for animal and human studies based on pilot studies, larger studies similar to the proposed study-or if no previous studies are available-estimated magnitudes of the effect size per Cohen and Sawilowsky.
在设计动物和人体研究时,最重要的统计分析之一是计算所需的样本量。在本综述中,我们在样本量确定的背景下定义了核心术语,包括均值、标准差、统计假设检验、I/II型错误、检验效能、效应方向、效应大小、预期损耗、校正样本量和分配比。我们还基于预试验、与拟开展研究相似的更大规模研究(或者如果没有既往研究),根据科恩和萨维洛夫斯基的效应大小估计值,提供了动物和人体研究样本量计算的实际示例。