Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Prueba Log-Rank para Comparar Curvas de Supervivencia× | Regresión de Supervivencia Paramétrica de Weibull× | |
|---|---|---|
| Campo | Supervivencia | Supervivencia |
| Familia | Survival analysis | Survival analysis |
| Año de origen≠ | 1966 | 1951 |
| Autor original≠ | Mantel, N. | Waloddi Weibull |
| Tipo≠ | Non-parametric hypothesis test | Fully parametric survival regression model |
| Fuente seminal≠ | 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 ↗ | Kalbfleisch, J. D. & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley. DOI ↗ |
| Alias | Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi | weibull aft model, weibull survival model, parametric survival regression, Weibull Regresyonu — Parametrik Hayatta Kalma |
| Relacionados≠ | 2 | 4 |
| Resumen≠ | 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. | Weibull regression is a fully parametric survival model, formalised by Kalbfleisch and Prentice, that assumes survival times follow a Weibull distribution. A shape parameter controls whether the hazard increases, decreases, or remains constant over time, while covariates shift the scale of the distribution to express how predictors affect survival. |
| ScholarGateConjunto de datos ↗ |
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