Mediation Analysis for High-Dimensional Mediators and Outcomes with an Application to Multimodal Imaging Data.

ABSTRACT: Multimodal neuroimaging data have attracted increasing attention for brain research. An integrated analysis of multimodal neuroimaging data and behavioral or clinical measurements provides a promising approach for comprehensively and systematically investigating the underlying neural mechanisms of different phenotypes. However, such an integrated data analysis is intrinsically challenging due to the complex interactive relationships between the multimodal multivariate imaging variables. To address this challenge, a novel multivariate-mediator and multivariate-outcome mediation model (MMO) is proposed to simultaneously extract the latent systematic mediation patterns and estimate the mediation effects based on a dense bi-cluster graph approach. A computati

SUBMITTER: Zhao Z 

PROVIDER: S-EPMC10210585 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature