3 citations · 4 across the 5 of their papers we have counts for
5 papers
Outcome-Calibrated Regression and Predicted Outcome-Based Inference
Hwiyoung Lee, Shuo Chen
Regression is a fundamental tool in scientific research. Ordinary least squares (OLS), one of the most widely used regression methods, enjoys several desirable properties, includin…
Modeling Dependence in Omics Association Analysis via Structured Co-Expression Networks to Improve Power and Replicability
Hwiyoung Lee, Yezhi Pan, Shuo Chen
Accounting for dependence among high-dimensional variables in omics data analysis is critical to obtain accurate and reliable statistical inference. Although latent, omics variable…
Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based vector-on-matrix regression
Tong Lu, Yuan Zhang, Vince Lyzinski +4
The joint analysis of multimodal neuroimaging data is critical in the field of brain research because it reveals complex interactive relationships between neurobiological structure…
Multiple Imputation Method for High-Dimensional Neuroimaging Data
Tong Lu, Chixiang Chen, Hsin-Hsiung Huang +3
Missingness is a common issue for neuroimaging data, and neglecting it in downstream statistical analysis can introduce bias and lead to misguided inferential conclusions. It is th…
Integrative data analysis where partial covariates have complex non-linear effects by using summary information from an external data
Jia Liang, Shuo Chen, Peter Kochunov +2
A full parametric and linear specification may be insufficient to capture complicated patterns in studies exploring complex features, such as those investigating age-related change…