Inferring Within-Subject Variances From Intensive Longitudinal Data

October 21, 2020
3:00 - 4:00pm
Zoom - Registry Link Below

Does our blood pressure fluctuate more in winter or in summer? Do President Trump's tweets move the stock market? These are examples where we are primarily interested in identifying factors that affect the individual-level variability of a longitudinal trait. This talk presents a robust method that is scalable to massive longitudinal data commonly generated from electronic health records and personal wearable devices. 



Speaker: Hua Zhou, PhD, Associate Professor, Department of Biostatistics, UCLA



Event Type: 
Biostatistics and Bioinformatics Seminar