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stat.ME2024
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.AP2024
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…