广义估计方程在连续型结局变量分离分析中的应用。
Use of generalized estimating equations in segregation analysis of continuous outcomes.
作者信息
Stram D O, Lee H, Thomas D C
机构信息
Department of Preventive Medicine, University of Southern California, Los Angeles 90033.
出版信息
Genet Epidemiol. 1993;10(6):575-9. doi: 10.1002/gepi.1370100641.
PMID:8314063
Abstract
The use of generalized estimating equations (GEE) [Liang and Zeger, 1986] is explored as a potential alternative to maximum likelihood methods for segregation analysis of continuous phenotypes. We discuss the number of sample moments required by GEE to estimate parameters in simple major gene models, and the computational burden of the GEE methods applied to large pedigrees.
摘要
探讨使用广义估计方程（GEE）[梁和泽格，1986年]作为连续性状分离分析中最大似然法的潜在替代方法。我们讨论了GEE估计简单主基因模型参数所需的样本矩数量，以及应用于大型家系的GEE方法的计算负担。
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