Wilson R S
Acta Genet Med Gemellol (Roma). 1979;28(2):93-105. doi: 10.1017/s0001566000009132.
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.
本文提出了一个基于重复测量的潜在方差分析模型的纵向双胞胎数据分析的形式化模型。该模型是根据表示双胞胎一致性的方差成分的期望值来建立的，并给出了计算配对内（组内）相关性以及估计每个成分所解释的方差百分比的推导过程。通过从出生到六岁的身体生长数据对这些程序进行了说明，并获得了平均大小以及生长突增和滞后模式的一致性估计。还描述了一种用于比较同卵双胞胎和异卵双胞胎的显著性检验。这些程序对于评估发育的时间遗传影响特别有用，尤其是基因匹配的双胞胎的加速和滞后事件是否并行发生。该模型也可用于心理数据。
