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Regresia proporcionálnych rizik Cox×Kaplanov-Meierov odhad prežitia×
OdborAnalýza prežívaniaAnalýza prežívania
RodinaSurvival analysisSurvival analysis
Rok vzniku19721958
TvorcaCox, D. R.Kaplan, E. L. & Meier, P.
TypSemi-parametric hazard regression modelNon-parametric survival estimator
Pôvodný zdrojCox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. DOI ↗Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗
Ďalšie názvycox ph model, proportional hazards model, cox ph regression, Cox Orantılı Tehlikeler Regresyonuproduct-limit estimator, km curve, kaplan-meier sağkalım analizi
Príbuzné32
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.The Kaplan-Meier estimator, introduced by Kaplan and Meier in 1958, is a non-parametric method that estimates the survival curve — the probability of remaining event-free over time — from right-censored time-to-event data. The log-rank test is the companion procedure used to compare survival curves between groups.
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ScholarGatePorovnať metódy: Cox Regression · Kaplan-Meier. Získané 2026-06-17 z https://scholargate.app/sk/compare