autoimmune disease 1competing risks 1cumulative incidence curves 1federated learning 1immune checkpoint inhibitors 1post-market safety surveillance 1
From the 1 of 3 linked papers with an AI index.
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
Fracture Risk Prediction in Adults Over 50 Years Old Using DXA and EHR: Comparison of Traditional and Machine Learning Models in Two Large Cohorts
Jiahe Qian, Hao Dai, Kunyu Yu +6
Accurate fracture risk prediction is important for osteoporosis management, but commonly used clinical tools may not fully use information available in electronic health records (E…
stat.AP2026
Privacy-preserving causal mediation analysis using distributed electronic health record networks
Hyojung Jang, Rotana Radwan, Malcolm Risk +5
Electronic health record (EHR) networks provide unprecedented opportunities to study treatment mechanisms at scale, but mediation analyses across institutions are often hindered by…