4 papers
Trustworthy AI/ML Regression and Unbiased Causal Inference for Real-World Data
Yifei Xu, Hwiyoung Lee, Zhenyao Ye +5
Real-World Data (RWD), with its large sample sizes and rich clinical detail, offers a compelling alternative to randomized controlled trials (RCTs) for studying treatment effects i…
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…
Graph Canonical Correlation Analysis
Hongju Park, Shuyang Bai, Zhenyao Ye +3
Canonical correlation analysis (CCA) is a widely used technique for estimating associations between two sets of multi-dimensional variables. Recent advancements in CCA methods have…