Semiparametric odds ratio model for case-control and matched case-control designs.
Semiparametric odds ratio model for case-control and matched case-control designs.
复制标题
用于病例对照和匹配病例对照设计的半参数比值比模型。
DOI：
10.1002/sim.5742
复制
发表时间：
2013
影响因子：
2
通讯作者：
Li,Mingyao
中科院分区：
文献类型：
--
作者：
Chen,HuaYun;Reilly,MuredachP;Li,Mingyao
我们提出了一个半参数优势比模型，该模型将Umbach和Weinberg的方法推广到离散数据和连续数据，在病例对照设计中利用基因-环境关联模型来获得效率收益。我们直接对对照人群中的基因-环境关联进行建模，以避免在疾病风险模型中估计截距，这是由于抽样设计中关于参数的信息稀缺而固有的困难。我们提出了一种新的基于排列的方法来消除匹配病例对照设计中的高维干扰参数。当基因-环境关联模型不受限制时，该方法可归结为条件Logistic回归。仿真研究表明，该方法具有良好的性能。我们将所提出的方法应用于冠心病基因-环境交互作用的研究。版权所有©2013 John Wiley&Sons，Ltd.
We propose a semiparametric odds ratio model that extends Umbach and Weinberg's approach to exploiting gene–environment association model for efficiency gains in case–control designs to both discrete and continuous data. We directly model the gene–environment association in the control population to avoid estimating the intercept in the disease risk model, which is inherently difficult because of the scarcity of information on the parameter with the sampling designs. We propose a novel permutation‐based approach to eliminate the high‐dimensional nuisance parameters in the matched case–control design. The proposed approach reduces to the conditional logistic regression when the model for the gene–environment association is unrestricted. Simulation studies demonstrate good performance of the proposed approach. We apply the proposed approach to a study of gene–environment interaction on coronary artery disease. Copyright © 2013 John Wiley & Sons, Ltd.