ScholarGate
Asistent

Uporedite metode

Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.

Bejzijanovska Košova regresija×Regresija proporcionalnih opasnosti po Koks-u×
OblastStatistikaAnaliza preživljavanja
PorodicaRegression modelSurvival analysis
Godina nastanka1972 (Cox PH); 2001 (Bayesian treatment)1972
TvoracCox (1972) for the base model; Bayesian formulation by Sinha, Chen & Ghosh (1990s); comprehensive treatment by Ibrahim, Chen & Sinha (2001)Cox, D. R.
TipSurvival regressionSemi-parametric hazard regression model
Temeljni izvorIbrahim, J. G., Chen, M.-H., & Sinha, D. (2001). Bayesian Survival Analysis. Springer. ISBN: 978-0387952772Cox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. DOI ↗
Drugi naziviBayesian Cox PH model, Bayesian proportional hazards model, Bayesian survival regression, BCoxcox ph model, proportional hazards model, cox ph regression, Cox Orantılı Tehlikeler Regresyonu
Srodne63
SažetakBayesian Cox regression combines the Cox proportional hazards model for time-to-event data with Bayesian inference. Instead of point estimates, it produces full posterior distributions over the hazard ratios, naturally incorporating prior knowledge and providing coherent uncertainty quantification even with small samples or informative censoring.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.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretragu Preuzmi slajdove

ScholarGateUporedite metode: Bayesian Cox Regression · Cox Regression. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare