3 papers
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…
stat.ME2025
Efficient Implementation of a Semiparametric Joint Model for Multivariate Longitudinal Biomarkers and Competing Risks Time-to-Event Data
Shanpeng Li, Emily Ouyang, Jin Zhou +2
Joint modeling has become increasingly popular for characterizing the association between one or more longitudinal biomarkers and competing risks time-to-event outcomes. However, s…
stat.ME2025
A Semiparametric Bayesian Method for Instrumental Variable Analysis with Partly Interval-Censored Time-to-Event Outcome
Elvis Han Cui, Xuyang Lu, Jin Zhou +2
This paper develops a semiparametric Bayesian instrumental variable analysis method for estimating the causal effect of an endogenous variable when dealing with unobserved confound…