2 citations · 4 across the 10 of their papers we have counts for
5 papers · 1 filter
Bayesian pathway analysis over brain network mediators for survival data
Xinyuan Tian, Fan Li, Li Shen +2
Technological advancements in noninvasive imaging facilitate the construction of whole brain interconnected networks, known as brain connectivity. Existing approaches to analyze br…
Inference-based statistical network analysis uncovers star-like brain functional architectures for internalizing psychopathology in children
Selena Wang, Yunhe Liu, Wanwan Xu +2
To improve the statistical power for imaging biomarker detection, we propose a latent variable-based statistical network analysis (LatentSNA) that combines brain functional connect…
Mediation Analysis with Graph Mediator
Yixi Xu, Yi Zhao
This study introduces a mediation analysis framework when the mediator is a graph. A Gaussian covariance graph model is assumed for graph representation. Causal estimands and assum…
Density-on-Density Regression
Yi Zhao, Abhirup Datta, Bohao Tang +2
In this study, a density-on-density regression model is introduced, where the association between densities is elucidated via a warping function. The proposed model has the advanta…
Bayesian mixed model inference for genetic association under related samples with brain network phenotype
Xinyuan Tian, Yiting Wang, Selena Wang +2
Genetic association studies for brain connectivity phenotypes have gained prominence due to advances in non-invasive imaging techniques and quantitative genetics. Brain connectivit…