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Statistical Power and the Classical Twin Design
Twin Research and Human Genetics ( IF 0.9 ) Pub Date : 2020-06-24 , DOI: 10.1017/thg.2020.46
Pak C Sham 1 , Shaun M Purcell 2 , Stacey S Cherny 3, 4 , Michael C Neale 5, 6 , Benjamin M Neale 7, 8, 9
Affiliation  

Dr Nick Martin has made enormous contributions to the field of behavior genetics over the past 50 years. Of his many seminal papers that have had a profound impact, we focus on his early work on the power of twin studies. He was among the first to recognize the importance of sample size calculation before conducting a study to ensure sufficient power to detect the effects of interest. The elegant approach he developed, based on the noncentral chi-squared distribution, has been adopted by subsequent researchers for other genetic study designs, and today remains a standard tool for power calculations in structural equation modeling and other areas of statistical analysis. The present brief article discusses the main aspects of his seminal paper, and how it led to subsequent developments, by him and others, as the field of behavior genetics evolved into the present era.

中文翻译:

统计功效和经典双胞胎设计

在过去的 50 年里,尼克·马丁博士为行为遗传学领域做出了巨大贡献。在他的许多具有深远影响的开创性论文中,我们关注的是他早期关于双胞胎研究力量的工作。在进行研究以确保有足够的能力检测感兴趣的影响之前,他是最早认识到样本量计算重要性的人之一。他开发的基于非中心卡方分布的优雅方法已被后续研究人员用于其他基因研究设计,并且今天仍然是结构方程建模和其他统计分析领域中功率计算的标准工具。这篇简短的文章讨论了他开创性论文的主要方面,以及他和其他人如何导致后续发展,
更新日期:2020-06-24
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