ABSTRACT

The classical models ACE and ADE were used in the 1990’s to estimate heredity of a phenotype from data on monozygotic and dizygotic twins. The author extended these models to a model called ACDE with four parameters instead of only three. In that paper, the data were assumed to be continuous. This paper considers the same models in the case where the data is categorical. It is showed how these models can be estimated by maximum likelihood. An example is given based on twin data on BMI from the UK. This is the same data as in the previous paper but in categorized form.

中文翻译：

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孪生数据的经典模型：分类数据的案例

摘要

经典模型 ACE 和 ADE 在 1990 年代用于根据单卵和异卵双胞胎的数据估计表型的遗传。作者将这些模型扩展到一个名为 ACDE 的模型，它有四个参数，而不是只有三个。在那篇论文中，假设数据是连续的。本文在数据是分类的情况下考虑了相同的模型。展示了如何通过最大似然估计这些模型。给出了一个基于英国 BMI 孪生数据的示例。这与上一篇论文中的数据相同，但采用分类形式。