Analysis of longitudinal twin data. Basic model and applications to physical growth measures.
Analysis of longitudinal twin data. Basic model and applications to physical growth measures.
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纵向双胞胎数据分析。
DOI：
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发表时间：
1979
期刊：
影响因子：
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通讯作者：
R. Wilson
中科院分区：
文献类型：
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作者：
R. Wilson
基于重复测量的基础方差分析模型，提出了用于分析纵向孪生数据的正式模型。该模型是根据代表双胞胎一致性的方差分量的期望值开发的，并且提供推导用于计算对内（类内）相关性，并估计每个分量解释的方差百分比。这些程序用从出生到六年的身体生长数据进行说明，并获得平均尺寸以及生长突增和滞后模式的一致性估计。还描述了用于比较同卵双胞胎和异卵双胞胎的显着性检验。该程序对于评估时间遗传学对发育的影响特别有用，特别是对于基因匹配的双胞胎来说，加速和滞后事件是否同时发生。该模型也可以与心理数据一起使用。
A formal model is presented for the analysis of longitudinal twin data, based on the underlying analysis-of-variance model for repeated measures. The model is developed in terms of the expected values for the variance components representing twin concordance, and the derivation is provided for computing within-pair (intraclass) correlations, and for estimating the percent of variance explained by each component. The procedures are illustrated with physical growth data extending from birth to six years, and concordance estimates are obtained for average size and for the pattern of spurts and lags in growth. A test of significance is also described for comparing monozygotic twins with dizygotic twins. The procedures are particularly useful for assessing chronogenetic influences on development, especially whether the episodes of acceleration and lag occur in parallel for genetically matched twins. The model may be employed with psychological data also.