Accelerated Failure-time Models
1
Ian James,
Ian James
Murdoch University, Perth, Western Australia, Australia
Search for more papers by this authorIan James,
Ian James
Murdoch University, Perth, Western Australia, Australia
Search for more papers by this authorFirst published: 15 July 2005
Abstract
The accelerated failure-time model assumes a survival function of the form S(t) = S0(θt), where S0 is an underlying survival function and θ may depend on a number of covariates. This is equivalent to a location-shift model for the log failure time, and in particular to a loglinear regression model when θ is loglinear. Parametric and semiparametric approaches to analyses based on these models with possibly censored failure-time responses are reviewed. The accelerated failure-time assumption is compared and contrasted with that of proportional hazards.
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