Joint analysis of multivariate longitudinal, imaging, and time-to-event data

：宋心远（香港中文大学）
：2024-12-30 16:30
：海韵园实验楼S107

报告人：宋心远（香港中文大学）

时  间：2024年12月30日16:30

地  点：海韵园实验楼S107

内容摘要:

This study proposes a joint analysis of multivariate longitudinal data, survival data with a non-susceptible fraction, and ultrahigh-dimensional imaging data. The proposed model comprises three major components. The first component is a mixture proportional hazards cure model with images to examine the potential predictors of the non-susceptible probability and hazards of interest. The second component is a dynamic factor analysis model with images to characterize group-specific latent factors through multiple observed variables. The last component is a semiparametric trajectory model to reveal the change patterns of the dynamic latent factors in the “non-susceptible" and “susceptible” groups. A two-stage approach is developed for statistical inference. The first stage manages the imaging data through high-dimensional functional principal component analysis. The second stage develops a Bayesian approach coupled with penalized splines, data augmentation, and Markov chain Monte Carlo techniques to perform estimation. The application to the Alzheimer’s Disease Neuroimaging Initiative dataset sheds new insight into the pathology of AD.

个人简介：

Xinyuan Song is a full professor at the Department of Statistics at the Chinese University of Hong Kong. She is currently a Changjiang Scholar Chair Professor awarded by the Education Ministry of China, an IMS Fellow, and an ISI elected member. Her research interests are latent variable models, Bayesian methods, survival analysis, nonparametric and semiparametric methods, and statistical computing. She serves as an associate editor for multiple international journals in Statistics and Psychometrics, including the Journal of the American Statistical Association (JASA, Application & Case Study), Statistics in Medicine, Electronic Journal of Statistics, Statistics and Its Interface, Computational Statistics and Data Analysis, Journal of Mathematical Study, Statistical Theory and Related Fields, Psychometrika, and Structural Equation Modeling: A Multidisciplinary Journal, and also served as an associate editor for Biometrics (2014-16) and The Canadian Journal of Statistics (2019-21).

 

联系人：胡杰