48 citations · 122 across the 27 of their papers we have counts for
5 papers · 1 filter
Bayesian Hierarchical Models for High-Dimensional Mediation Analysis with Coordinated Selection of Correlated Mediators
Yanyi Song, Xiang Zhou, Jian Kang +9
We consider Bayesian high-dimensional mediation analysis to identify among a large set of correlated potential mediators the active ones that mediate the effect from an exposure va…
Statistical Inference for High-Dimensional Vector Autoregression with Measurement Error
Xiang Lyu, Jian Kang, Lexin Li
High-dimensional vector autoregression with measurement error is frequently encountered in a large variety of scientific and business applications. In this article, we study statis…
Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects
Yanyi Song, Xiang Zhou, Jian Kang +9
Causal mediation analysis aims to characterize an exposure's effect on an outcome and quantify the indirect effect that acts through a given mediator or a group of mediators of int…
Deep Historical Borrowing Framework to Prospectively and Simultaneously Synthesize Control Information in Confirmatory Clinical Trials with Multiple Endpoints
Tianyu Zhan, Yiwang Zhou, Ziqian Geng +5
In current clinical trial development, historical information is receiving more attention as it provides utility beyond sample size calculation. Meta-analytic-predictive (MAP) prio…
Image Response Regression via Deep Neural Networks
Daiwei Zhang, Lexin Li, Chandra Sripada +1
Delineating the associations between images and a vector of covariates is of central interest in medical imaging studies. To tackle this problem of image response regression, we pr…