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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.ME2024
Scalable Scalar-on-Image Cortical Surface Regression with a Relaxed-Thresholded Gaussian Process Prior
Anna Menacher, Thomas E. Nichols, Timothy D. Johnson +1
In addressing the challenge of analysing the large-scale Adolescent Brain Cognition Development (ABCD) fMRI dataset, involving over 5,000 subjects and extensive neuroimaging data,…
stat.ME2023
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…