632 citations · 2.1k across the 24 of their papers we have counts for
5 papers · 1 filter
High-dimensional Many-to-many-to-many Mediation Analysis
Tien Dat Nguyen, Trung Khang Tran, Cong Khanh Truong +3
We study high-dimensional mediation analysis in which exposures, mediators, and outcomes are all multivariate, and both exposures and mediators may be high-dimensional. We formaliz…
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones
Oliver Y. Chén, Florian Lipsmeier, Huy Phan +5
Personalized longitudinal disease assessment is central to quickly diagnosing, appropriately managing, and optimally adapting the therapeutic strategy of multiple sclerosis (MS). I…
Statistical Quantile Learning for Large, Nonlinear, and Additive Latent Variable Models
Julien Bodelet, Guillaume Blanc, Jiajun Shan +2
The studies of large-scale, high-dimensional data in fields such as genomics and neuroscience have injected new insights into science. Yet, despite advances, they are confronting s…
Thou Shalt Not Reject the P-value
Oliver Y. Chén, Raúl G. Saraiva, Guy Nagels +9
Since its debut in the 18th century, the P-value has been an important part of hypothesis testing-based scientific discoveries. As the statistical engine accelerates, questions are…
High-dimensional Multivariate Mediation: with Application to Neuroimaging Data
Oliver Y. Chén, Ciprian M. Crainiceanu, Elizabeth L. Ogburn +3
Mediation analysis has become an important tool in the behavioral sciences for investigating the role of intermediate variables that lie in the path between a randomized treatment…