A robust method for finely stratified familial studies with proband-based sampling.
A robust method for finely stratified familial studies with proband-based sampling.
复制标题
一种基于先证者抽样的精细分层家族研究的稳健方法。
DOI：
10.1093/biostatistics/kxn043
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Hanfelt,JohnJ
中科院分区：
文献类型：
--
作者：
Wang,Molin;Hanfelt,JohnJ
本文提出了一种稳健的方法进行推理，在细分层的家庭研究的先证者为基础的抽样。我们假设的兴趣是在一个二元响应和响应的家庭聚集的受试者特异性协变量的边际效应，如量化的家庭内成对比值比。我们采用了估计功能的先证者为基础的家庭研究最初开发的背景下，一个未分层的设计和治疗的分层效应作为固定的滋扰参数。我们的方法只需要对观测值的前2个联合矩进行建模，并且通过拟合特定于地层的讨厌参数而引起的偏差减少了2个数量级。还提供了所提出的估计的分析标准误差估计。该方法适用于匹配的病例对照家族研究的睡眠呼吸暂停。仿真研究证实了该方法的实用性。
This paper presents a robust method to conduct inference in finely stratified familial studies under proband-based sampling. We assume that the interest is in both the marginal effects of subject-specific covariates on a binary response and the familial aggregation of the response, as quantified by intrafamilial pairwise odds ratios. We adopt an estimating function for proband-based family studies originally developed by in the context of an unstratified design and treat the stratification effects as fixed nuisance parameters. Our method requires modeling only the first 2 joint moments of the observations and reduces by 2 orders of magnitude the bias induced by fitting the stratum-specific nuisance parameters. An analytical standard error estimator for the proposed estimator is also provided. The proposed approach is applied to a matched case–control familial study of sleep apnea. A simulation study confirms the usefulness of the approach.