3 papers
stat.ME2026
Multivariate Functional Principal Component Analysis for Mixed-Type mHealth Data: An Application to Mood Disorders
Debangan Dey, Rahul Ghosal, Kathleen Merikangas +1
Modern mobile health (mHealth) assessment combines self-reported measures of participants' health experiences with passively collected health behavior data throughout the day. Thes…
stat.ME2026
Scalar-on-distribution regression via generalized odds with applications to accelerometry-assessed disability in multiple sclerosis
Pratim Guha Niyogi, Muraleetharan Sanjayan, Kathryn C. Fitzgerald +2
Distributional representations of data collected using digital health technologies have been shown to outperform scalar summaries for clinical prediction, with carefully quantified…
stat.AP2025
Hazard and Beyond: Exploring Five Distributional Representations of Accelerometry Data for Disability Discrimination in Multiple Sclerosis
Pratim Guha Niyogi, Muraleetharan Sanjayan, Dmitri Volfson +3
Research on modeling the distributional aspects in sensor-based digital health (sDHT) data has grown significantly in recent years. Most existing approaches focus on using individu…