Semi-parametric Pseudo-Maximum-Likelihood Estimation Exploiting Gene-Environment Independence for Po

• 作 者: YanLi;BarryI.Graubard;
• 机 构: Department of Mathematics, University of Texas, Arlington, TX 76019 Biostatistics Branch, Division o
• 出 处: The Third IMS-China International Conference on Statistics a
• 发表日期: 2011年期

　　Advances in human genetics have led to epidemiologic investigations not only of the effects of genes alone, but also of gene-environment (G-E) interactions.A widely accepted design strategy in the study of how G-E relate to disease risks is the population-based case-control study (PBCCS).For simple random samples semiparametric methods for testing G-E have been developed by Chatterjee and Carroll in 2005.