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Regresia proporcionálnych rizik Cox×Regresia prežitia×
OdborAnalýza prežívaniaŠtatistika
RodinaSurvival analysisRegression model
Rok vzniku19721980s
TvorcaCox, D. R.Kalbfleisch & Prentice; Cox & Oakes
TypSemi-parametric hazard regression modelParametric survival model
Pôvodný zdrojCox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. DOI ↗Kalbfleisch, J. D., & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley. ISBN: 978-0471363576
Ďalšie názvycox ph model, proportional hazards model, cox ph regression, Cox Orantılı Tehlikeler Regresyonuaccelerated failure time model, AFT model, parametric survival model, time-to-event regression
Príbuzné33
ZhrnutieCox 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.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.
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ScholarGatePorovnať metódy: Cox Regression · Survival Regression. Získané 2026-06-19 z https://scholargate.app/sk/compare