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stat.ME2026
FastJM: An R Package for Efficient Implementation of Semiparametric Joint Models for Longitudinal and Survival Data
Shanpeng Li, Emily Ouyang, Ace Isabel Mejia-Sanchez +2
Joint models provide a flexible framework for characterizing the association between longitudinal and time-to-event processes and have been widely applied in biomedical research. H…
stat.ME2026
Debiased Machine Learning for Partially Linear Accelerated Failure Time Models
Tomoki Okuno, Sijie Zheng, Brendon Chau +3
The Cox model remains the default for survival analysis, but the proportional hazards assumption is often violated and hazard ratios can be difficult to interpret. Accelerated fail…