The univariate bootstrap is a relatively recently developed version of the bootstrap (Lee and Rodgers in Psychol Methods 3(1): 91, 1998). DeFries-Fulker (DF) analysis is a regression model used to estimate parameters in behavioral genetic models (DeFries and Fulker in Behav Genet 15(5): 467-473, 1985). It is appealing for its simplicity; however, it violates certain regression assumptions such as homogeneity of variance and independence of errors that make calculation of standard errors and confidence intervals problematic. Methods have been developed to account for these issues (Kohler and Rodgers in Behav Genet 31(2): 179-191, 2001), however the univariate bootstrap represents a unique means of doing so that is presaged by suggestions from previous DF research (e.g., Cherny et al. in Behav Genet 22(2): 153-162, 1992). In the present study we use simulations to examine the performance of the univariate bootstrap in the context of DF analysis. We compare a number of possible bootstrap schemes as well as more traditional confidence interval methods. We follow up with an empirical demonstration, applying results of the simulation to models estimated to investigate changes in body mass index in adults from the National Longitudinal Survey of Youth 1979 data.

中文翻译：

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在DeFries-Fulker回归模型中估计置信区间的Bootstrap方法的仿真研究（适用于NLSY中BMI变化的遗传力）。

单变量引导程序是引导程序的相对较新开发的版本（Lee和Rodgers在Psychol Methods 3（1）：91，1998）。DeFries-Fulker（DF）分析是用于估计行为遗传模型中参数的回归模型（DeFries和Fulker in Behav Genet 15（5）：467-473，1985）。它的简单性吸引人。但是，它违反了某些回归假设，例如方差的均匀性和误差的独立性，这些误差使标准误差和置信区间的计算成为问题。已经开发出解决这些问题的方法（Kohler和Rodgers在Behav Genet 31（2）：179-191，2001年），但是单变量bootstrap代表了这样做的独特方法，这是由先前DF研究提出的建议作为前提的（例如，Cherny et al。在Behav Genet 22（2）：153-162，1992）。在本研究中，我们使用模拟方法在DF分析的情况下检查单变量引导程序的性能。我们比较了许多可能的引导方案以及更传统的置信区间方法。我们进行了一次经验论证，将模拟结果应用于根据1979年全国青年纵向调查数据估算的成年人体重指数变化的模型。