教師資料查詢 | 類別: 期刊論文 | 教師: 陳麗菁 Li Ching Chen (瀏覽個人網頁)

標題:Robust methods for detecting familial aggregation of a quantitative trait in matched case-control family studies
學年101
學期1
出版(發表)日期2012/10/01
作品名稱Robust methods for detecting familial aggregation of a quantitative trait in matched case-control family studies
作品名稱(其他語言)
著者Wang, Jiun-yi; Chen, Li-ching; Lin, Hui-min
單位淡江大學統計學系
出版者Abingdon: Routledge
著錄名稱、卷期、頁數Journal of Applied Statistics 39(10), 2097-2111
摘要Assessing familial aggregation of a disease or its underlying quantitative traits is often undertaken as the first step in the investigation of possible genetic causes. When some major confounding variables are known and difficult to be quantified, the matched case–control family design provides an opportunity to eliminate biased results. In such a design, cases and matched controls are ascertained first, with subsequent recruitment of other members in their families. For the study of complex diseases, many continuously distributed quantitative traits or biomedical evaluations are of primary clinical and health significance, and distributions of these continuous outcomes are frequently skewed or non-normal. A non-normal distributed outcome may lead some standard statistical methods to suffer from loss of substantial power. To deal with the problem, in this study, we thus propose a rank-based test for detecting familial aggregation of a quantitative trait with the use of a within-cluster resampling process. According to our simulation studies, the proposed test expresses qualified and robust power performance. Specifically, the proposed test is slightly less powerful than the generalized estimating equations approach if the trait is normally distributed, and it is apparently more powerful if the trait distribution is essentially skewed or heavy-tailed. A user-friendly R-script and an executable file to perform the proposed test are available online to allow its implementation on ordinary research.
關鍵字case–control family studies; familial aggregation; matched design; proband sampling;
within-cluster resampling
語言英文
ISSN0266-4763;1360-0532
期刊性質國外
收錄於SCI
產學合作
通訊作者Chen, Li-ching
審稿制度
國別英國
公開徵稿
出版型式紙本;電子版
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