学术研讨会

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

发布时间:2019-12-19

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:


钟玉洁,上海财经大学统计与管理学院助理教授。2015年于加拿大滑铁卢大学获得博士学位。2015-2018在英国剑桥大学MRC生物统计研究所从事研究工作,201810月加入上海财经大学。主持有国家自然科学基金(青年项目),获得上海市浦江人才计划(团队项目)。主要研究方向包括生存分析、复发性事件的统计推断、有偏数据分析、临床试验设计等。研究论文主要发表在Biometrics, Biostatistics, Statistics in Medicine等生物统计期刊。

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


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