Methoden vergleichen

	Accelerated Failure Time (AFT) Modell	Log-Rank-Test zum Vergleich von Überlebenskurven
Fachgebiet	Überlebenszeitanalyse	Überlebenszeitanalyse
Familie	Survival analysis	Survival analysis
Entstehungsjahr	1992	1966
Urheber	Wei, L. J. (seminal review 1992); origins in parametric survival literature	Mantel, N.
Typ	Parametric survival regression model	Non-parametric hypothesis test
Wegweisende Quelle	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.	Mantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170.
Aliasnamen	AFT model, parametric survival regression, Hızlandırılmış Başarısızlık Zamanı Modeli (AFT)	Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
Verwandt	3	2
Zusammenfassung	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 log-rank test, developed by Nathan Mantel in 1966, is a non-parametric hypothesis test that compares the overall survival experience of two or more groups throughout the entire follow-up period. It is the standard companion to Kaplan-Meier curves and determines whether observed differences between curves are statistically meaningful.