Department of Human Development and Family Science, College of Education and Human Ecology, The Ohio State University, Columbus, OH, USA.
Behav Genet. 2012 Mar;42(2):256-67. doi: 10.1007/s10519-011-9497-7. Epub 2011 Aug 30.
We introduce a new method for analyzing twin data called quantile regression. Through the application presented here, quantile regression is able to assess the genetic and environmental etiology of any skill or ability, at multiple points in the distribution of that skill or ability. This method is compared to the Cherny et al. (Behav Genet 22:153-162, 1992) method in an application to four different reading-related outcomes in 304 pairs of first-grade same sex twins enrolled in the Western Reserve Reading Project. Findings across the two methods were similar; both indicated some variation across the distribution of the genetic and shared environmental influences on non-word reading. However, quantile regression provides more details about the location and size of the measured effect. Applications of the technique are discussed.
我们介绍了一种新的分析双胞胎数据的方法,称为分位数回归。通过这里展示的应用,分位数回归能够评估任何技能或能力在该技能或能力分布的多个点上的遗传和环境病因。该方法与 Cherny 等人(行为遗传学 22:153-162,1992)的方法在一项对参加西部储备阅读项目的 304 对一年级同性双胞胎的四项不同阅读相关结果的应用中进行了比较。两种方法的结果相似;都表明在非词阅读的遗传和共享环境影响在分布上存在一些差异。然而,分位数回归提供了关于所测量效应的位置和大小的更多细节。讨论了该技术的应用。