289 citations · 307 across the 11 of their papers we have counts for
5 papers · 1 filter
Regularized regression on compositional trees with application to MRI analysis
Bingkai Wang, Brian S. Caffo, Xi Luo +4
A compositional tree refers to a tree structure on a set of random variables where each random variable is a node and composition occurs at each non-leaf node of the tree. As a gen…
Principal Regression for High Dimensional Covariance Matrices
Yi Zhao, Brian S. Caffo, Xi Luo
This manuscript presents an approach to perform generalized linear regression with multiple high dimensional covariance matrices as the outcome. Model parameters are proposed to be…
A spatial template independent component analysis model for subject-level brain network estimation and inference
Amanda F. Mejia, David Bolin, Yu Ryan Yue +3
Independent component analysis is commonly applied to functional magnetic resonance imaging (fMRI) data to extract independent components (ICs) representing functional brain networ…
B-Value and Empirical Equivalence Bound: A New Procedure of Hypothesis Testing
Yi Zhao, Brian S. Caffo, Joshua B. Ewen
In this study, we propose a two-stage procedure for hypothesis testing, where the first stage is conventional hypothesis testing and the second is an equivalence testing procedure…
Multimodal Neuroimaging Data Integration and Pathway Analysis
Yi Zhao, Lexin Li, Brian S. Caffo
With fast advancements in technologies, the collection of multiple types of measurements on a common set of subjects is becoming routine in science. Some notable examples include m…