3 papers
stat.ME2026
Studying Competing Events with Federated Cumulative Incidence Curves
Malcolm Risk, Shuang Yang, Jiang Bian +6
The paper introduces a federated learning approach for constructing non‑parametric cumulative incidence curves for competing risks without sharing patient‑level data, and applies i…
stat.AP2026
Time-to-Event Modeling with Pseudo-Observations in Federated Settings
Hyojung Jang, Malcolm Risk, Yaojie Wang +3
In multi-center clinical research, privacy regulations often prohibit pooling individual-level records, complicating the analysis of time-to-event data. Current federated survival…
stat.ME2025
Distributed Kaplan-Meier Analysis via the Influence Function with Application to COVID-19 and COVID-19 Vaccine Adverse Events
Malcolm Risk, Xu Shi, Lili Zhao
During the COVID-19 pandemic, regulatory decision-making was hampered by a lack of timely and high-quality data on rare outcomes. Studying rare outcomes following infection and vac…