Xi Luo

TL;DR: Covariate Ass Principal (CAP) regression is introduced, an optimization-based method for identifying the components predicted by (generalized) linear models of the covariates and shows higher accuracy and robustness in coefficient estimation than competing methods.

TL;DR: In this paper, it was shown that SHBG (sex hormone binding globulin) has been linked to obesity, diabetes mellitus, and other cardiometabolic disorders, but it remains uncertain whether SHBG levels are associated with these disorders.

TL;DR: This paper proposes a causal dynamic network (CDN) method to estimate brain activations and connections simultaneously in fMRI, which achieves higher estimation accuracy while improving the computational speed by from tens to thousands of times.

TL;DR: Covariate Assisted Principal regression is introduced, an optimization-based method for identifying components associated with the covariates using a generalized linear model approach that shows higher accuracy and robustness in coefficient estimation over competing methods.

TL;DR: This paper presents Granger mediation analysis, a new framework for causal mediation analysis of multiple time series motivated by a functional magnetic resonance imaging (fMRI) experiment where the mediation effects between a randomized stimulus time series and brain activity time series from two brain regions are estimated.