विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| त्वरित विफलता समय (AFT) मॉडल× | कैप्लान-मेयर सर्वाइवल एस्टिमेटर× | |
|---|---|---|
| क्षेत्र | उत्तरजीविता | उत्तरजीविता |
| परिवार | Survival analysis | Survival analysis |
| उद्भव वर्ष≠ | 1992 | 1958 |
| प्रवर्तक≠ | Wei, L. J. (seminal review 1992); origins in parametric survival literature | Kaplan, E. L. & Meier, P. |
| प्रकार≠ | Parametric survival regression model | Non-parametric survival estimator |
| मौलिक स्रोत≠ | 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 ↗ | Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗ |
| उपनाम | AFT model, parametric survival regression, Hızlandırılmış Başarısızlık Zamanı Modeli (AFT) | product-limit estimator, km curve, kaplan-meier sağkalım analizi |
| संबंधित≠ | 3 | 2 |
| सारांश≠ | 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. |
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