Collaborative Inference for Accelerated Failure Time Model Using Clinical Center-Level Summary Statistics.

ABSTRACT: Multi-center clinical research offers numerous advantages, including the ability to obtain a larger combined sample size and to reduce center-specific insufficiency and imbalance in event rates, ultimately leading to more robust and generalizable findings. This paper develops a collaborative analytic framework for survival data analysis using summary statistics and the Accelerated Failure Time (AFT) model, a popular alternative to the Cox proportional hazards model for the analysis of time-to-event data. The AFT model directly accounts for the effects of the covariates on times to event, rather than through hazard functions, with no proportionality assumption required compared to the Cox model. Given that it bypasses the construction of partial likelihood, it gives rise to more flexibility

SUBMITTER: Hu M 

PROVIDER: S-EPMC12542814 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature