Emerging Statistical Methods for Digital Health Data

Videos from BIRS Workshop

, Duke University
- 11:01
The Digital Physiome: Wearables for Disease Detection and Monitoring
Watch video | Download video: 202502241042-Dunn.mp4 (41M)
, Duke University
- 11:01
The Digital Physiome: Wearables for Disease Detection and Monitoring
Watch video | Download video: 202502241042-Goldsmith.mp4 (42M)
, Northeastern University
- 14:40
Digital Phenotyping in Action: Methods and Applications in Women's Health, Mental Health, and Mobility Research
Watch video | Download video: 202502241415-Sathyanarayana.mp4 (39M)
, University of South Carolina
- 11:02
Functional Time Transformation Model with Applications to Digital Health
Watch video | Download video: 202502251038-Ghosal.mp4 (39M)
, University of Minnesota
- 11:16
Functional Random Effects Inference with Applications to Accelerometry Data (
Watch video | Download video: 202502251103-Cui.mp4 (16M)
, University of Minnesota
- 11:16
Functional Random Effects Inference with Applications to Accelerometry Data (
Watch video | Download video: 202502251103-Shou.mp4 (16M)
, Columbia University
- 11:32
Functional quantiles and related methods
Watch video | Download video: 202502251107-Goldsmith.mp4 (67M)
, Johns Hopkins University
- 14:02
[TUTORIAL] Processing accelerometer data in R
Watch video | Download video: 202502251307-Muschelli.mp4 (104M)
, Northwestern University Feinberg School of Medicine
- 16:02
Joint modeling the frequency and duration of accelerometer-measured physical activity from a lifestyle intervention trial
Watch video | Download video: 202502251537-Siddique.mp4 (36M)
, University of Michigan
- 09:57
[TUTORIAL] Processing CGM data in R
Watch video | Download video: 202502260906-Gaynanova.mp4 (179M)
, Johns Hopkins Bloomberg School of Public Health
- 10:38
NHANES Accelerometry and Derivatives
Watch video | Download video: 202502261019-Koffman.mp4 (28M)
, Indiana University
- 11:04
Head Impact Measurements in American College Football players
Watch video | Download video: 202502261039-Harezlak.mp4 (38M)
, Wake Forest University
- 11:35
Using a Quality-Controlled Dataset from ViSi Mobile Monitoring for Analyzing Posture Patterns of Hospitalized Patients
Watch video | Download video: 202502261117-Huang.mp4 (27M)
, Wake Forest University
- 11:35
Using a Quality-Controlled Dataset from ViSi Mobile Monitoring for Analyzing Posture Patterns of Hospitalized Patients
Watch video | Download video: 202502261117-Wu.mp4 (27M)
, University of California, Irvine
- 09:50
Causal inference and machine learning in mobile health --- modeling time-varying effects using longitudinal functional data
Watch video | Download video: 202502270920-Qian.mp4 (43M)
, North Carolina State University
- 13:39
Modeling massive physical activity monitor data through distributed inference
Watch video | Download video: 202502271310-Hector.mp4 (40M)
, University of Minnesota
- 14:09
Combining passive mobile sensing and EMA data to understand daily human activity patterns
Watch video | Download video: 202502271340-Wolfson.mp4 (47M)
, New York University
- 14:51
Integrating Digital Biomarkers and Large Language Models in Real-World Settings : How Digital Innovations and AI are Shaping the Future of Mental Health
Watch video | Download video: 202502271411-Schultebraucks.mp4 (76M)