101 citations · 295 across the 12 of their papers we have counts for
14 papers
Distributional outcome regression via quantile functions and its application to modelling continuously monitored heart rate and physical activity
Rahul Ghosal, Sujit K. Ghosh, Jennifer A. Schrack +1
Modern clinical and epidemiological studies widely employ wearables to record parallel streams of real-time data on human physiology and behavior. With recent advances in distribut…
Regression and Dimension Reduction for Multivariate Mixed-Type Data via Semiparametric Gaussian Copula
Debangan Dey, Vadim Zipunnikov
Clinical and epidemiological studies encode participant information in multivariate vectors with mixed type variables on continuous, truncated, ordinal, and binary scales. Semipara…
Scalar on time-by-distribution regression and its application for modelling associations between daily-living physical activity and cognitive functions in Alzheimer's Disease
Rahul Ghosal, Vijay R. Varma, Dmitri Volfson +4
Wearable data is a rich source of information that can provide deeper understanding of links between human behaviours and human health. Existing modelling approaches use wearable d…
Distributional data analysis via quantile functions and its application to modelling digital biomarkers of gait in Alzheimer's Disease
Rahul Ghosal, Vijay R. Varma, Dmitri Volfson +5
With the advent of continuous health monitoring with wearable devices, users now generate their unique streams of continuous data such as minute-level step counts or heartbeats. Su…
Connecting population-level AUC and latent scale-invariant via Semiparametric Gaussian Copula and rank correlations
Debangan Dey, Vadim Zipunnikov
Area Under the Curve (AUC) is arguably the most popular measure of classification accuracy. We use a semiparametric framework to introduce a latent scale-invariant , a novel m…
Epidemiology of Objectively Measured Bedtime and Chronotype in the US adolescents and adults: NHANES 2003-2006
Jacek K. Urbanek, Adam Spira, Junrui Di +3
Background: We propose a method for estimating the timing of in-bed intervals using objective data in a large representative U.S. sample, and quantify the association between these…