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

来源 :The Third IMS-China International Conference on Statistics a | 被引量 : 0次 | 上传用户：missyouangle

【摘要】

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【作者】

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Yan Li Barry I.Graubard

【机构】

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Department of Mathematics, University of Texas, Arlington, TX 76019 Biostatistics Branch, Division o

【出处】

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The Third IMS-China International Conference on Statistics a

【发表日期】

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2011年3期

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　　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.

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

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