Accelerated failure time model

Parametric model in survival analysis

In the statistical area of survival analysis, an accelerated failure time model is a parametric model that provides an alternative to the commonly used proportional hazards models. Whereas a proportional hazards model assumes that the effect of a covariate is to multiply the hazard by some constant, an AFT model assumes that the effect of a covariate is to accelerate or decelerate the life course of a disease by some constant. There is strong basic science evidence from C. elegans experiments by Stroustrup et al. indicating that AFT models are the correct model for biological survival processes.

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