Efficient Estimation and Inference in Matrix Regression with Application to Neuroimaging Data and Bioassay Data
Matrix regression is a generalization of conventional multivariate regression. It has potential important applications in contemporary complex structured data, such as data from neuroimaging studies, cross-over design analysis, and multivariate growth curve modeling, among many others. In this talk, I will propose a new enveloping approach to reduce estimation standard errors in multivariate regression and matrix regression. Such as a new approach can potentially lead to economical experimental design. I will demonstrate two real data applications with the proposed method. One is to investigate how brain regions and activities are related to alcoholism via EEG (electroencephalogram) data analysis. The other is to study how treatments affect insulin regarding blood sugar concentration of rabbits via bioassay data.
Dr. Ding is an assistant professor of Statistics at the University of Delaware. She joined UD in 2014. Prior to that, she received her PhD degree in Statistics from the University of Minnesota. Her research areas include dimension reduction, high dimensional data analysis, statistical learning, multivariate analysis, imaging and tensor data, longitudinal and censored data, and health and environmental applications. Her current research focuses on developing new statistical methodology to tackle modern scientific data with complex structures and high dimensionality with particular applications to biomedical studies.
Thursday Tech Talks, sponsored by the Delaware Clinical & Translational Science ACCEL program and the Christiana Care Value Institute, are monthly seminars intended to present statistical, epidemiological and bioinformatics methods and how they can be applied to medical research studies. Presentations focus on the technical aspects of methods as well as their application to real world situations.
These free talks are held the first Thursday of each month at noon at Christiana Hospital but can be viewed from your home or office computer. Earn CMEs by participating in-person or online. Lunch is served and all are welcome to attend.
To see the full calendar of events, visit the Value Institute Events page or the ACCEL website, or subscribe to the ID Series mailing list.
Contact Sarahfaye Dolman at sarahfaye.f.dolman@christianacare.org with any questions.