學術研討會

Analysis of censored family data under biased sampling and its efficient two-phase design

Statistics Seminar (2019-26)

Title: Analysis of censored family data under biased sampling and its efficient two-phase design

Speaker: Yujie Zhong, Shanghai University of Finance and Economics

Time: Thursday, December 26, 14:00-15:00

Place: Room 217, Guanghua Building 2


Abstract:

The heritability of disease is often studied by examining within-family associations in onset times. Families for such studies typically employ biased sampling schemes in which affected individuals are sampled, along with relatives providing incomplete information on disease onset times. We develop composite likelihood methods for modeling within-family associations using copula functions and second-order regression models in which dependencies are characterized by Kendall's. Auxiliary data from independent individuals are exploited by augmentating composite likelihoods to increase precision of marginal parameter estimates and consequently increase efficiency in dependence parameter estimation. An application to a motivating family study in psoriatic arthritis illustrates the method and provides evidence of excessive paternal transmission of risk. We also develop selection models for efficient two-phase design for such family studies.


Introduction:


鐘玉潔,上海財經大學統計與管理學院助理教授。2015年于加拿大滑鐵盧大學獲得博士學位。2015-2018在英國劍橋大學MRC生物統計研究所從事研究工作,201810月加入上海財經大學。主持有國家自然科學基金(青年項目),獲得上海市浦江人才計劃(團隊項目)。主要研究方向包括生存分析、復發性事件的統計推斷、有偏數據分析、臨床試驗設計等。研究論文主要發表在Biometrics, Biostatistics, Statistics in Medicine等生物統計期刊。

http://ssm.shufe.edu.cn/ce/88/c714a118408/page.htm


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