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297 Wed, 8/11/2021, 3:30 PM - 5:20 PM Virtual
Recent Statistical Advances for Mobile Health — Invited Papers
Biometrics Section, ENAR, WNAR
Organizer(s): Walter Dempsey, University of Michigan
Chair(s): Zhenke Wu, University of Michigan, Ann Arbor
3:35 PM Recurrent Event Analysis in the Presence of Real-Time High-Frequency Data via Random Subsampling
Walter Dempsey, University of Michigan
3:50 PM Regularized Greedy Gradient Q-Learning with Mobile Health Applications
Min Qian, Columbia University
4:05 PM Physical Activity Is the Strongest Modifiable Risk Factor for Mortality: A Short Story Based on NHANES and UK Biobank Data
Ciprian Crainiceanu, Johns Hopkins University
4:20 PM Safe learning methods for mHealth
Eric Laber, Duke University
4:35 PM Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach
Nathan Kallus, Cornell University
4:50 PM Scalar on time-by-distribution regression and its application to modelling cognitive function in Alzheimer's Disease
Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health
5:05 PM Floor Discussion