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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…
stat.ME2024
Establishing the Parallels and Differences Between Right-Censored and Missing Covariates
Jesus E. Vazquez, Marissa C. Ashner, Yanyuan Ma +2
While right-censored time-to-event outcomes have been studied for decades, handling time-to-event covariates, also known as right-censored covariates, is now of growing interest. S…