Method evidence record
Accelerated Failure Time Model
The Accelerated Failure Time model is a parametric regression approach to survival analysis — formally reviewed and advocated by L. J. Wei in 1992 — in which covariates act as multiplicative factors that directly stretch or compress the time-to-event scale. Unlike the Cox proportional-hazards model, which models how covariates shift the hazard rate, AFT models express the covariate effect as an acceleration or deceleration of the time axis itself.
Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.
Source record
Recorded
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Accelerated Failure Time (AFT) Model
Taxonomic method recordsurvivalsurvival
Kalbfleisch, J. D. & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley. · ISBN 978-0471363576
Kleinbaum, D. G. & Klein, M. (2012). Survival Analysis: A Self-Learning Text (3rd ed.). Springer. · ISBN 978-1441966452
Open full method3 recorded citations, copied from the method source record.
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Related methods
Suggested3
Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.
- Same method familyKaplan-Meier
machine-suggestedRelational suggestion, not evidence.
- Same method familyLog-Rank Test
machine-suggestedRelational suggestion, not evidence.
- Same method familyWeibull Regression
machine-suggestedRelational suggestion, not evidence.