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20142021
most citedSparse Principal Component based High-Dimensional Mediation Analysis

71 citations · 115 across the 10 of their papers we have counts for

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5 papers · 1 filter

stat.ME2021

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…

stat.ME2020★ 2 cited

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…

stat.ME2019

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…

stat.ME2019★ 3 cited

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…

stat.ME2017★ 3 cited

Granger Mediation Analysis of Multiple Time Series with an Application to fMRI

Yi Zhao, Xi Luo

It becomes increasingly popular to perform mediation analysis for complex data from sophisticated experimental studies. In this paper, we present Granger Mediation Analysis (GMA),…