English  |  正體中文  |  简体中文  |  Items with full text/Total items : 70548/70548 (100%)
Visitors : 23061521      Online Users : 346
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51850


    Title: A robust TDT-type association test under informative parental missingness
    Authors: Chen,JH;Cheng,KF
    Contributors: 統計研究所
    Keywords: HAPLOTYPE RELATIVE RISK;TRANSMISSION DISEQUILIBRIUM TEST;LINKAGE DISEQUILIBRIUM;ADMIXTURE;DESIGNS;DISEASE;TRIOS
    Date: 2011
    Issue Date: 2012-03-27 19:07:38 (UTC+8)
    Publisher: 國立中央大學
    Abstract: Many family-based association tests rely on the random transmission of alleles from parents to offspring. Among them, the transmission/disequilibrium test (TDT) may be considered to be the most popular statistical test. The TDT statistic and its variations were proposed to evaluate nonrandom transmission of alleles from parents to the diseased children. However, in family studies, parental genotypes may be missing due to parental death, loss, divorce, or other reasons. Under some missingness conditions, nonrandom transmission of alleles may still occur even when the gene and disease are not associated. As a consequence, the usual TDT-type tests would produce excessive false positive conclusions in association studies. In this paper, we propose a novel TDT-type association test which is not only simple in computation but also robust to the joint effect of population stratification and informative parental missingness. Our test is model-free and allows for different mechanisms of parental missingness across subpopulations. We use a simulation study to compare the performance of the new test with TDT and point out the advantage of the new method. Copyright (C) 2010 John Wiley & Sons, Ltd.
    Relation: STATISTICS IN MEDICINE
    Appears in Collections:[統計研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML531View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明