activity
20172023
most citedVariable screening with multiple studies

1 citations · 3 across the 5 of their papers we have counts for

collaborators
Showing stat.MEShow all

5 papers · 1 filter

stat.ME2023★ 1 cited

The Effect of Alcohol intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data

Chixiang Chen, Shuo Chen, Zhenyao Ye +3

Although substance use, such as alcohol intake, is known to be associated with cognitive decline during aging, its direct influence on the central nervous system remains incomplete…

stat.ME2022★ 1 cited

Robust distance correlation for variable screening

Tianzhou Ma, Hongjie Ke, Zhao Ren

High-dimensional data are commonly seen in modern statistical applications, variable selection methods play indispensable roles in identifying the critical features for scientific…

stat.ME2022

Multivariate Bayesian variable selection with application to multi-trait genetic fine mapping

Travis Canida, Hongjie Ke, Shuo Chen +2

Variable selection has played a critical role in modern statistical learning and scientific discoveries. Numerous regularization and Bayesian variable selection methods have been d…

stat.ME2022

Bayesian response adaptive randomization design with a composite endpoint of mortality and morbidity

Zhongying Xu, Andriy I. Bandos, Tianzhou Ma +3

Allocating patients to treatment arms during a trial based on the observed responses accumulated prior to the decision point, and sequential adaptation of this allocation,, could m…

stat.ME2017★ 1 cited

Variable screening with multiple studies

Tianzhou Ma, Zhao Ren, George C. Tseng

Advancement in technology has generated abundant high-dimensional data that allows integration of multiple relevant studies. Due to their huge computational advantage, variable scr…