Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Modelo de Riesgos Proporcionales de Cox× | Prueba Log-Rank para Comparar Curvas de Supervivencia× | |
|---|---|---|
| Campo≠ | Epidemiología | Supervivencia |
| Familia≠ | Process / pipeline | Survival analysis |
| Año de origen≠ | 1972 | 1966 |
| Autor original≠ | Sir David Roxbee Cox | Mantel, N. |
| Tipo≠ | Semi-parametric regression model | Non-parametric hypothesis test |
| Fuente seminal≠ | Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202. 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 ↗ |
| Alias | Cox regression, Cox PH model, proportional hazards model, CPH | Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi |
| Relacionados≠ | 5 | 2 |
| Resumen≠ | The Cox proportional hazards model is a semi-parametric regression method that estimates the effect of one or more covariates on the hazard — the instantaneous rate of an event such as death, relapse, or failure — while making no assumption about the shape of the baseline hazard function. Introduced by David Cox in 1972, it is the dominant tool for multivariable survival analysis in clinical and epidemiological research. | 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. |
| ScholarGateConjunto de datos ↗ |
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