3 papers
stat.ME2026
A flexible framework for treatment effect inference in longitudinal clinical studies with skewed outcomes
Kazushi Maruo, Ryota Ishii, Yusuke Yamaguchi +3
Longitudinal continuous outcomes in clinical trials are commonly analyzed using mixed models for repeated measures (MMRM) under normality assumptions. However, many clinical outcom…
cs.LG2026
Federated Rule Ensemble Method in Medical Data
Ke Wan, Kensuke Tanioka, Toshio Shimokawa
Machine learning has become integral to medical research and is increasingly applied in clinical settings to support diagnosis and decision-making; however, its effectiveness depen…
stat.ME2026
Differentially Private One-Shot Federated Inference for Linear Mixed Models via Lossless Likelihood Reconstruction
Keisuke Hanada, Toshio Shimokawa, Kazushi Maruo
One-shot federated learning enables multi-site inference with minimal communication. However, sharing summary statistics can still leak sensitive individual-level information when…