289 citations · 554 across the 25 of their papers we have counts for
4 papers · 1 filter
High-dimensional Multivariate Mediation: with Application to Neuroimaging Data
Oliver Y. Chén, Ciprian M. Crainiceanu, Elizabeth L. Ogburn +3
Mediation analysis has become an important tool in the behavioral sciences for investigating the role of intermediate variables that lie in the path between a randomized treatment…
Relating multi-sequence longitudinal intensity profiles and clinical covariates in new multiple sclerosis lesions
Elizabeth M. Sweeney, Russell T. Shinohara, Blake E. Dewey +5
Structural magnetic resonance imaging (MRI) can be used to detect lesions in the brains of multiple sclerosis (MS) patients. The formation of these lesions is a complex process inv…
Prediction of sustained harmonic walking in the free-living environment using raw accelerometry data
Jacek K. Urbanek, Vadim Zipunnikov, Tamara Harris +6
Objective. Using raw, sub-second level, accelerometry data, we propose and validate a method for identifying and characterizing walking in the free-living environment. We focus on…
Longitudinal high-dimensional principal components analysis with application to diffusion tensor imaging of multiple sclerosis
Vadim Zipunnikov, Sonja Greven, Haochang Shou +3
We develop a flexible framework for modeling high-dimensional imaging data observed longitudinally. The approach decomposes the observed variability of repeatedly measured high-dim…