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Information Journal Paper

Title

MARGINAL ANALYSIS OF A POPULATION-BASED GENETIC ASSOCIATION STUDY OF QUANTITATIVE TRAITS WITH INCOMPLETE LONGITUDINAL DATA

Pages

  109-123

Abstract

 A common study to investigate gene-environment interaction is designed to be longitudinal and population-based. Data arising from longitudinal association studies often contain missing responses. Naive analysis without taking missingness into account may produce invalid inference, especially when the missing data mechanism depends on the response process. To address this issue in the analysis concerning gene-environment interaction effects, in this paper, we adopt an inverse probability weighted GENERALIZED ESTIMATING EQUATIONS (IPWGEE) approach to conduct statistical inference. This approach is attractive because it does not require full model specification yet it can provide consistent estimates under the MISSING AT RANDOM (MAR) mechanism. We utilize this method to analyze data arising from a cardiovascular disease study.

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    APA: Copy

    CHEN, BAOJIANG, CHEN, ZHIJIAN, WU, LONGYANG, WANG, LIHUA, & YI, GRACE Y.. (2011). MARGINAL ANALYSIS OF A POPULATION-BASED GENETIC ASSOCIATION STUDY OF QUANTITATIVE TRAITS WITH INCOMPLETE LONGITUDINAL DATA. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), 10(2), 109-123. SID. https://sid.ir/paper/117830/en

    Vancouver: Copy

    CHEN BAOJIANG, CHEN ZHIJIAN, WU LONGYANG, WANG LIHUA, YI GRACE Y.. MARGINAL ANALYSIS OF A POPULATION-BASED GENETIC ASSOCIATION STUDY OF QUANTITATIVE TRAITS WITH INCOMPLETE LONGITUDINAL DATA. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS)[Internet]. 2011;10(2):109-123. Available from: https://sid.ir/paper/117830/en

    IEEE: Copy

    BAOJIANG CHEN, ZHIJIAN CHEN, LONGYANG WU, LIHUA WANG, and GRACE Y. YI, “MARGINAL ANALYSIS OF A POPULATION-BASED GENETIC ASSOCIATION STUDY OF QUANTITATIVE TRAITS WITH INCOMPLETE LONGITUDINAL DATA,” JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), vol. 10, no. 2, pp. 109–123, 2011, [Online]. Available: https://sid.ir/paper/117830/en

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