6 citations · 6 across the 4 of their papers we have counts for
4 papers
Capturing the Curve: Functional Data Analysis for Validated Digital Outcome Measures
Mia S. Tackney, Marcos Matabuena, Marco Palma +7
Digital health technologies enable high-frequency collection of data in near-continuous time and capture rich information about the health of individuals. The raw data collected by…
Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age
Marcos Matabuena
Many problems within personalized medicine and digital health rely on the analysis of continuous-time functional biomarkers and other complex data structures emerging from high-res…
Predicting Distributions of Physical Activity Profiles in the NHANES Database Using a Partially Linear Fréchet Single Index Model
Marcos Matabuena, Aritra Ghosal, Wendy Meiring +1
Object-oriented data analysis is a fascinating and evolving field in modern statistical science, with the potential to make significant contributions to biomedical applications. Th…
Distributional data analysis of accelerometer data from the NHANES database using nonparametric survey regression models
Marcos Matabuena, Alexander Petersen
Accelerometers enable an objective measurement of physical activity levels among groups of individuals in free-living environments, providing high-resolution detail about physical…