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| 가속 실패 시간(AFT) 모델× | 생존 곡선 비교를 위한 로그-순위 검정× | |
|---|---|---|
| 분야 | 생존분석 | 생존분석 |
| 계열 | Survival analysis | Survival analysis |
| 기원 연도≠ | 1992 | 1966 |
| 창시자≠ | Wei, L. J. (seminal review 1992); origins in parametric survival literature | Mantel, N. |
| 유형≠ | Parametric survival regression model | Non-parametric hypothesis test |
| 원전≠ | 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. 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 ↗ |
| 별칭≠ | AFT model, parametric survival regression, Hızlandırılmış Başarısızlık Zamanı Modeli (AFT) | Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi |
| 관련≠ | 3 | 2 |
| 요약≠ | 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. |
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