3 papers
stat.ME2026
Bayesian Structured Mediation Analysis With Unobserved Confounders
Yuliang Xu, Shu Yang, Jian Kang
We explore methods to reduce the impact of unobserved confounders on the causal mediation analysis of high-dimensional mediators with spatially smooth structures, such as brain ima…
stat.AP2026
Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis
Yuliang Xu, Timothy D. Johnson, Thomas E. Nichols +1
Bayesian Image-on-Scalar Regression (ISR) provides flexible, uncertainty-aware neuroimaging analysis. However, applying ISR to large-scale datasets such as the UK Biobank is challe…
stat.ME2025
Bayesian Image Mediation Analysis
Yuliang Xu, Timothy D Johnson, Mary Heitzeg +1
Mediation analysis aims to separate the indirect effect through mediators from the direct effect of the exposure on the outcome. It is challenging to perform mediation analysis wit…