Birs- 25w5474: Emerging Statistical Methods for Digital Health Data

  1. Title:
    The Digital Physiome: Wearables for Disease Detection and Monitoring

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    The Digital Physiome: Wearables for Disease Detection and Monitoring

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    Digital Phenotyping in Action: Methods and Applications in Women's Health, Mental Health, and Mobility Research

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    Functional Time Transformation Model with Applications to Digital Health

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    Functional Random Effects Inference with Applications to Accelerometry Data (

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    Functional Random Effects Inference with Applications to Accelerometry Data (

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    Functional quantiles and related methods

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    [TUTORIAL] Processing accelerometer data in R

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  9. Title:
    Joint modeling the frequency and duration of accelerometer-measured physical activity from a lifestyle intervention trial

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    [TUTORIAL] Processing CGM data in R

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    NHANES Accelerometry and Derivatives

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  12. Title:
    Head Impact Measurements in American College Football players

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  13. Title:
    Using a Quality-Controlled Dataset from ViSi Mobile Monitoring for Analyzing Posture Patterns of Hospitalized Patients

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  14. Title:
    Using a Quality-Controlled Dataset from ViSi Mobile Monitoring for Analyzing Posture Patterns of Hospitalized Patients

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  15. Title:
    Causal inference and machine learning in mobile health --- modeling time-varying effects using longitudinal functional data

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  16. Title:
    Modeling massive physical activity monitor data through distributed inference

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  17. Title:
    Combining passive mobile sensing and EMA data to understand daily human activity patterns

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  18. Title:
    Integrating Digital Biomarkers and Large Language Models in Real-World Settings : How Digital Innovations and AI are Shaping the Future of Mental Health

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