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Inferential methods for functional data from wearable devices
McKeague, Ian Wray
(PI)
Mailman School of Public Health
Project
:
Research project
Overview
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Mathematics
Confounders
100%
Covariate
66%
Data Analytics
33%
Data Mining
33%
Functional Data
100%
Health Monitoring
33%
Level Covariates
33%
Model Selection
26%
New York
33%
Nonparametric Estimation
26%
Nonparametric Method
33%
Post-Selection Inference
33%
Precision Medicine
33%
Statistical Method
33%
Statistical Modeling
33%
Survival Analysis
33%
Survival Data
33%
Time Distribution
26%
Engineering
Activity Level
32%
Collected Data
16%
Generic Data
16%
Health Monitoring
16%
Learning System
16%
Metrics
16%
Outcome Event
16%
Sensor Data
16%
Testing Method
16%
Wearable Sensor
80%