REGRESSIVE LOGISTIC-MODELS FOR FAMILIAL DISEASE AND OTHER BINARY TRAITS
REGRESSIVE LOGISTIC-MODELS FOR FAMILIAL DISEASE AND OTHER BINARY TRAITS
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DOI：
10.2307/2531211
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发表时间：
1986-09-01
期刊：
影响因子：
1.9
通讯作者：
BONNEY, GE
中科院分区：
文献类型：
--
作者：
BONNEY, GE
先前针对连续特征定义的简单的马尔可夫依赖结构通过使用逻辑功能扩展到家族疾病和其他二元性状。如此配制的回归模型可以结合解释变量和用于分离和连锁分析的主要基因效应。因此，可以在同一计算方案中实现流行病学和遗传学的目标。
The simple Markovian structures of dependence, defined previously for continuous traits, are extended here to familial disease and other binary traits through the use of the logistic function. The regressive models so formulated can incorporate explanatory variables and major gene effects for segregation and linkage analyses. Thus, the goals of epidemiology and genetics in the analysis of familial disease can be accomplished in the same computational scheme.