dc.contributor | 政大統計系 | en_US |
dc.creator (作者) | 程毅豪;林惠文;劉惠美 | zh_TW |
dc.creator (作者) | Chen, Yi-Hau;Lin, Hui-Wen;Liu, Huimei | en_US |
dc.date (日期) | 2009-02 | en_US |
dc.date.accessioned | 12-Dec-2013 18:09:16 (UTC+8) | - |
dc.date.available | 12-Dec-2013 18:09:16 (UTC+8) | - |
dc.date.issued (上傳時間) | 12-Dec-2013 18:09:16 (UTC+8) | - |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/62447 | - |
dc.description.abstract (摘要) | The case-only study and family-based study are two popular study designs for detecting gene-environment interactions. It is well known that the case-only analysis is efficient, but its validity relies crucially on the assumption of gene-environment independence in the study population. In contrast, the family-based analysis is robust to the violation of such an assumption, but is less efficient. We propose a two-stage study design for detecting gene-environment interactions, where a case-only study is performed at the first stage, and a case-parent/case-sibling study is performed at the second stage on a random subsample of the first-stage case sample as well as their parents/unaffected siblings. Statistical inference procedures are developed for the proposed two-stage study designs, which not only preserve the robustness property of the family-based analysis, but also utilize information from the case-only analysis to enhance estimation efficiency and testing power. Simulation results reveal both the robustness and efficiency of the proposed strategies. Genet. Epidemiol. 2008. © 2008 Wiley-Liss, Inc. | en_US |
dc.format.extent | 151636 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en_US | - |
dc.relation (關聯) | Genet Epidemiol, 33(2), 95-104 | en_US |
dc.subject (關鍵詞) | case-parent studies;case-sibling studies;gene-environment independence;parental missingness | en_US |
dc.title (題名) | Two-stage analysis for gene-environment interaction utilizing both case-only and family-based analysis | en_US |
dc.type (資料類型) | article | en |
dc.identifier.doi (DOI) | 10.1002/gepi.20357 | en_US |
dc.doi.uri (DOI) | http://dx.doi.org/10.1002/gepi.20357 | en_US |