Flexible extension of the accelerated failure time model to account for nonlinear and time-dependent effects of covariates on the hazard.

ABSTRACT: The accelerated failure time model is an alternative to the Cox proportional hazards model in survival analysis. However, conclusions regarding the associations of prognostic factors with event times are valid only if the underlying modeling assumptions are met. In contrast to several flexible methods for relaxing the proportional hazards and linearity assumptions in the Cox model, formal investigation of the constant-over-time time ratio and linearity assumptions in the accelerated failure time model has been limited. Yet, in practice, prognostic factors may have time-dependent and/or nonlinear effects. Furthermore, parametric accelerated failure time models require correct specification of the baseline hazard function, which is treated as a nuisance parameter in the Cox proportional haza

SUBMITTER: Pang M 

PROVIDER: S-EPMC8649433 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature