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Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Modelo de Tempo Acelerado de Falha (AFT)×Teste Log-Rank para Comparação de Curvas de Sobrevivência×
ÁreaAnálise de sobrevivênciaAnálise de sobrevivência
FamíliaSurvival analysisSurvival analysis
Ano de origem19921966
Autor originalWei, L. J. (seminal review 1992); origins in parametric survival literatureMantel, N.
TipoParametric survival regression modelNon-parametric hypothesis test
Fonte seminalWei, 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. DOI ↗Mantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170. link ↗
Outros nomesAFT model, parametric survival regression, Hızlandırılmış Başarısızlık Zamanı Modeli (AFT)Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
Relacionados32
ResumoThe 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.
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ScholarGateComparar métodos: Accelerated Failure Time Model · Log-Rank Test. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare