2 papers
stat.ME2026
Federated Learning with Incomplete Data: When to Use Complete Cases and When to Weight
Jesus E. Vazquez, Yicheng Shen, Jason Akulian +4
Privacy constraints have driven the rise of federated learning (FL), which enables multi-site analyses without sharing individual participant data. Existing FL estimators largely a…
stat.ME2025
Robust Estimation under Outcome Dependent Right Censoring in Huntington Disease: Estimators for Low and High Censoring Rates
Jesus E. Vazquez, Yanyuan Ma, Karen Marder +1
Across health applications, researchers model outcomes as a function of time to an event, but the event time is right-censored for participants who exit the study or otherwise do n…