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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…
stat.ME2025
Conditional Inference for Secondary Outcomes Based on the Testing Result for the Primary Outcome in Clinical Trials
Tianyu Pan, Vivek Charu, Ying Lu +1
In clinical trials, inferences on clinical outcomes are often made conditional on specific selective processes. For instance, only when a treatment demonstrates a significant effec…
stat.ME2024
Using Principal Progression Rate to Quantify and Compare Disease Progression in Comparative Studies
Changyu Shen, Menglan Pang, Ling Zhu +1
In comparative studies of progressive diseases, such as randomized controlled trials (RCTs), the mean Change From Baseline (CFB) of a continuous outcome at a pre-specified follow-u…