Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Regresión de Supervivencia× | Regresión de Riesgos Proporcionales de Cox× | |
|---|---|---|
| Campo≠ | Estadística | Supervivencia |
| Familia≠ | Regression model | Survival analysis |
| Año de origen≠ | 1980s | 1972 |
| Autor original≠ | Kalbfleisch & Prentice; Cox & Oakes | Cox, D. R. |
| Tipo≠ | Parametric survival model | Semi-parametric hazard regression model |
| Fuente seminal≠ | Kalbfleisch, J. D., & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley. ISBN: 978-0471363576 | Cox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. DOI ↗ |
| Alias | accelerated failure time model, AFT model, parametric survival model, time-to-event regression | cox ph model, proportional hazards model, cox ph regression, Cox Orantılı Tehlikeler Regresyonu |
| Relacionados | 3 | 3 |
| Resumen≠ | Survival regression models the time until an event occurs — such as death, failure, or relapse — as a function of covariates. Unlike ordinary regression, it properly accounts for censored observations (cases where the event had not yet occurred at the end of follow-up) by specifying a parametric distribution for the survival time and estimating covariate effects via maximum likelihood. | Cox proportional hazards regression, introduced by D. R. Cox in 1972, is a semi-parametric model that estimates how one or more covariates affect the hazard — the instantaneous rate of experiencing an event — while leaving the baseline hazard function unspecified. It is the standard multivariable method in survival analysis and produces hazard ratios that quantify the relative risk associated with each predictor. |
| ScholarGateConjunto de datos ↗ |
|
|