Distinguished Lecture: Big Biomedical Data Analytics: New Tools and Applications

When:
March 30, 2017 @ 10:00 am – 11:00 am
2017-03-30T10:00:00-04:00
2017-03-30T11:00:00-04:00
Where:
124 Petit Science Center
100 Piedmont Ave SE
Atlanta, GA 30303
USA
Contact:
Yichuan Zhao

Title
Big Biomedical Data Analytics: New Tools and Applications

Speaker
Yi Li, Professor of Global Public Health and Biostatistics, School of Public Health, University of Michigan

Abstract

In this talk, I will briefly introduce some big biomedical datasets (BBD) my group has been analyzing. I will then talk about some statistical work that aims to model and analyze them. Time permitting, I will specifically illustrate 3 new methods that our group has recently developed: (1) a Gateaux-differential based boosting method (GdBoost) for modeling and variable selection in the presence of high-dimensional time-varying effects; (2) a covariance-enhanced discriminating analytical (CEDA) tool for classifications in the presence of high-dimensional gene expression profiles; (3) a computationally efficient modeling technique for evaluating national dialysis facilities’ performance in terms of 30-day readmission.