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297
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Wed, 8/11/2021,
3:30 PM -
5:20 PM
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Virtual
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Recent Statistical Advances for Mobile Health — Invited Papers
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Biometrics Section, ENAR, WNAR
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Organizer(s): Walter Dempsey, University of Michigan
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Chair(s): Zhenke Wu, University of Michigan, Ann Arbor
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3:35 PM
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Recurrent Event Analysis in the Presence of Real-Time High-Frequency Data via Random Subsampling
Walter Dempsey, University of Michigan
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3:50 PM
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Regularized Greedy Gradient Q-Learning with Mobile Health Applications
Min Qian, Columbia University
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4:05 PM
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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
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4:20 PM
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Safe learning methods for mHealth
Eric Laber, Duke University
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4:35 PM
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Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach
Nathan Kallus, Cornell University
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4:50 PM
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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
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5:05 PM
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Floor Discussion
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