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    统计与管理学院2017年学术报告第71期

    【主 题】 The Screening and Ranking Algorithm for Change-Points Detection in Multiple Samples

    【报告人】 Zhang Heping 教授

    Yale University

    【时 间】 2017年12月11日(星期一)15:30-16:30

    【地 点】 上海财经大学统计与管理学院大楼1208会议室

    摘 要】The chromosome copy number variation (CNV) is the deviation of genomic regions from their normal copy number states, which may associate with many human diseases. Current genetic studies usually collect hundreds to thousands of samples to study the association between CNV and diseases. CNVs can be called by detecting the change-points in mean for sequences of array-based intensity measurements. Although multiple samples are of interest, the majority of the available CNV calling methods are single sample based. Only a few multiple sample methods have been proposed using scan statistics that are computationally intensive and designed toward either common or rare change-points detection. In this paper, we propose a novel multiple sample method by adaptively combining the scan statistic of the screening and ranking algorithm (SaRa), which is computationally efficient and is able to detect both common and rare change-points. We prove that asymptotically this method can find the true change-points with almost certainty and show in theory that multiple sample methods are superior to single sample methods when shared change-points are of interest. Additionally, we report extensive simulation studies to examine the performance of our proposed method. Finally, using our proposed method as well as two competing approaches, we attempt to detect CNVs in the data from the Primary Open-Angle Glaucoma Genes and Environment study, and conclude that our method is faster and requires less information while our ability to detect the CNVs is comparable or better.

     

    【嘉宾简介】Heping Zhang, Ph.D., is Susan Dwight Bliss Professor of Biostatistics, Professor of Statistics, and Professor in the Child Study Center at Yale University. He has founded and been directing the Collaborative Center for Statistics in Science at Yale. He is also an honorary professor of the University of Hong Kong, a 1000-plan scholar appointed by Chinese Ministry of Organization, and was a Chang-Jiang scholar at Sun Yat-Sen University appointed by Chinese Ministry of Education. He received his B.S in Mathematics from Jiangxi Normal University in 1982 and his Ph.D. in Statistics from Stanford University in 1991.  He is a fellow of the American Statistical Association and the Institute of Mathematical Statistics (IMS). He is the founding Editor-in-Chief of Statistics and Its Interface. He currently serves on the editorial boards of the Journal of the American Statistical Association (JASA), Genetic Epidemiology, and Fertility and Sterility. He was 2008 Myrto Lefkopoulou Distinguished Lecturer of Harvard School of Public Health, and 2011 IMS Medallion Lecturer, a recipient of 2011 Royan International Research Award in Reproductive Health, and a 2013 recipient of Scientific Program Prize Paper by the American Society for Reproductive Medicine. His research interests include nonparametric methods, longitudinal data, statistical genetics and bioinformatics, clinical trials, statistical modeling of epidemiological data, brain imaging analysis, statistical computation, and statistical methods in behavioral sciences.  He is an author of a book on Recursive Partitioning and Its Applications published by Springer, and has also published over 270 peer-reviewed articles in high impact statistical, genetic, epidemiological, and psychiatric journals including the Annals of Statistics, Biometrika, JASA, JRSS-B, American Journal of Human Genetics, American Journal of Psychiatry, PNAS, Science, and the New England Journal of Medicine.

    邀请人】王绍立