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	Accelerated Failure Time (AFT) modell	Kaplan-Meier-skattaren
Ämnesområde	Överlevnadsanalys	Överlevnadsanalys
Familj	Survival analysis	Survival analysis
Ursprungsår	1992	1958
Upphovsperson	Wei, L. J. (seminal review 1992); origins in parametric survival literature	Kaplan, E. L. & Meier, P.
Typ	Parametric survival regression model	Non-parametric survival estimator
Ursprungskälla	Wei, L. J. (1992). The Accelerated Failure Time Model: A Useful Alternative to the Cox Regression Model in Survival Analysis. Statistics in Medicine, 11(14–15), 1871–1879.	Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481.
Alias	AFT model, parametric survival regression, Hızlandırılmış Başarısızlık Zamanı Modeli (AFT)	product-limit estimator, km curve, kaplan-meier sağkalım analizi
Närliggande	3	2
Sammanfattning	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.	The Kaplan-Meier estimator, introduced by Kaplan and Meier in 1958, is a non-parametric method that estimates the survival curve — the probability of remaining event-free over time — from right-censored time-to-event data. The log-rank test is the companion procedure used to compare survival curves between groups.