Family-specific approaches to the analysis of case-control family data
Family-specific approaches to the analysis of case-control family data
复制标题
DOI：
10.1111/j.1541-0420.2005.00450.x
复制
发表时间：
2006-06-01
期刊：
影响因子：
1.9
通讯作者：
Wild, C. J.
中科院分区：
文献类型：
--
作者：
Neuhaus, J. M.;Scott, A. J.;Wild, C. J.
由家庭成员的反应和协变量的值增强的病例对照研究允许研究者通过将反应中的差异直接与协变量中的家庭内差异相关联来研究反应与遗传和环境之间的关联。然而，现有的方法，病例对照家庭数据参数协变量效应的边际概率的反应，相同的效果，从标准的病例对照研究估计。本文重点研究了家庭特异性协变量效应的估计，并开发了有效的方法来拟合家庭特异性模型，如二元混合效应模型。我们还扩展的方法，以涵盖任何设置，其中一个有一个完全指定的模型，在一个家庭的响应向量。我们说明了我们的方法使用的数据从脑癌的病例对照家庭研究，并考虑使用加权和条件似然方法作为替代。
Case-control studies augmented by the values of responses and covariates from family members allow investigators to study the association between the response and genetics and environment by relating differences in the response directly to within-family differences in covariates. However, existing approaches for case-control family data parameterize covariate effects in terms of the marginal probability of response, the same effects that one estimates from standard case-control studies. This article focuses on the estimation of family-specific covariate effects and develops efficient methods to fit family-specific models such as binary mixed-effects models. We also extend the approach to cover any setting where one has a fully specified model for the vector of responses in a family. We illustrate our approach using data from a case-control family study of brain cancer and consider the use of weighted and conditional likelihood methods as alternatives.