Characterizing quantile-varying covariate effects under the accelerated failure time model.

ABSTRACT: An important task in survival analysis is choosing a structure for the relationship between covariates of interest and the time-to-event outcome. For example, the accelerated failure time (AFT) model structures each covariate effect as a constant multiplicative shift in the outcome distribution across all survival quantiles. Though parsimonious, this structure cannot detect or capture effects that differ across quantiles of the distribution, a limitation that is analogous to only permitting proportional hazards in the Cox model. To address this, we propose a general framework for quantile-varying multiplicative effects under the AFT model. Specifically, we embed flexible regression structures within the AFT model and derive a novel formula for interpretable effects on the quantile scale. A

SUBMITTER: Reeder HT 

PROVIDER: S-EPMC11484523 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature