From the 1 of 2 linked papers with an AI index.
2 papers
stat.ME2026
Average Cause-Specific Hazard: A Censoring-Invariant Measure of Event Burden Under Competing Risks
Khondoker Nazmoon Nabi, Xiang Meng, Lu Tian +3
The paper introduces the Average Cause-Specific Hazard (ACSH), a censoring‑invariant measure of event burden for competing risks, and provides nonparametric methods for estimating…
stat.ME2026
Efficient and Debiased Learning of Average Hazard Under Non-Proportional Hazards
Xiang Meng, Lu Tian, Kenneth Kehl +1
The hazard ratio from the Cox proportional hazards model is a ubiquitous summary of treatment effect. However, when hazards are non-proportional, the hazard ratio can lose a stable…