时 间：2024年5月16日15:30 -17:00
地 点：普陀校区理科大楼A1514
报告人：林丹瑜 University of North Carolina at Chapel Hill教授
主持人：周勇 华东师范大学教授
摘 要：
Interval censoring arises frequently in medical, financial, and sociological studies, where the event or failure of interest is not observed at an exact time point but is rather known to occur within a time interval induced by periodic monitoring. We formulate the effects of potentially time-dependent covariates on the interval-censored failure time through semiparametric regression models, such as the Cox proportional hazards model. We study nonparametric maximum likelihood estimation with an arbitrary number of monitoring times for each study subject. We develop an EM algorithm that involves very simple calculations and converges stably for any dataset, even in the presence of time-dependent covariates. We show that the estimators for the regression parameters are consistent, asymptotically normal, and asymptotically efficient with an easily estimated covariance matrix. In addition, we extend the numerical algorithm and asymptotic theory to competing risks and multivariate failure time data, as well as to big data involving potentially millions of subjects. Finally, we demonstrate the desirable performance of the proposed numerical and inferential procedures through simulation studies and applications to real medical studies.
报告人简介：
Danyu Lin, Ph.D., is the Dennis Gillings Distinguished Professor of Biostatistics at the University of North Carolina at Chapel Hill. Dr. Lin is an internationally recognized leader in survival analysis and has served as an Associate Editor for Biometrika and JASA. He has published 300 papers, most of which appeared in top statistical journals, with 45,000 citations and an h-index of 97. Several of his methods have been incorporated into major texts and software packages, such as SAS, R and STATA, and used in thousands of scientific studies. Dr. Lin received the Mortimer Spiegelman Gold Medal from the American Public Health Association in 1999 and the George W. Snedecor Award from the Committee of Presidents of Statistical Societies in 2015. Other honors include ASA and IMS Fellows, Research.com’s list of Best Scientists in Mathematics, JASA and JRSS(B) discussion papers, and NIH Merit Award.