서울대학교 복잡계통계연구센터에서 Raymond J. Carroll 교수 초청강연이 열립니다.
회원여러분의 많은 참석 부탁드립니다. 자세한 사항은 아래와 같습니다.

제목 : Testing for Interactions in General Semiparametric Analysis of Repeated Measures Data, With Application to Testing for Main Effects of Genes with Possible Environmental Applications

연사 : Raymond J. Carroll (Texas A&M Univ.)

일시 : 2008년 5월 21일(수) 17:15 ~ 18:15 pm

장소 : 서울대학교 129동(상산수리과학관) 101호

Abstract:
This talk considers the general problem where the data for an individual are repeated measures in the most general sense, with a parametric component and a nonparametric component. In gene-environment interaction studies, it is often of interest to test for the main effects of genes (the parametric components) when there might be interactions with the environment (the nonparametric component).
Rather than build complex models for the interactions, we use a Tukey-type 1-degree of freedom formulation that has the promise to improve power for testing whether there are any genetic effects. We derive a general profile-type score statistic and show how to implement it, which involves circumventing the need to solve an integral equation. Extensions to semiparametric additive models with repeated measures are described.

복잡계통계연구센터 / 통계연구소