Accelerated failure time models are a class of survival analysis techniques used to analyze the time until an event occurs, focusing on how covariates affect the speed of that event. They assume that the effect of covariates accelerates or decelerates the life time of a subject by a certain factor, transforming the survival time into a new scale. This modeling approach is particularly useful for handling censored data, where the event of interest may not occur for all subjects during the observation period.
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