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利用双录入双胞胎数据进行遗传力的DF分析:渐近标准误差和有效估计

DF-analyses of heritability with double-entry twin data: asymptotic standard errors and efficient estimation.

作者信息

Kohler H P, Rodgers J L

机构信息

Head of Research Group on Social Dynamics and Fertility, Max Planck Institute for Demographic Research, Rostock, Germany.

出版信息

Behav Genet. 2001 Mar;31(2):179-91. doi: 10.1023/a:1010253411274.

Abstract

In this paper we establish the asymptotic distribution of DeFries Fulker (1985) regression estimates for heritability and shared environmental influences with double-entry twin data. A simple formula to estimate the covariance matrix of the coefficients in DF-regressions is provided, and applications to simulated data and Danish twin data show that this method can substantially increase the statistical power of the analyses. We also provide an 'efficient DF-analysis' that yields more precise estimates when additional covariates are included among the explanatory variables.

摘要

在本文中,我们利用双录入双胞胎数据建立了用于遗传力和共同环境影响的德弗里斯 - 富尔克(1985)回归估计的渐近分布。给出了一个估计DF回归中系数协方差矩阵的简单公式,对模拟数据和丹麦双胞胎数据的应用表明,该方法可大幅提高分析的统计功效。我们还提供了一种“有效DF分析”,当在解释变量中纳入额外协变量时,能产生更精确的估计。

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