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20192026
most citedA Systematic Bias of Machine Learning Regression Models and Its Correction: an Application to Imaging-based Brain Age Prediction

3 citations · 5 across the 9 of their papers we have counts for

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2 papers · 1 filter

stat.AP2026

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…

stat.ME2026

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…