قارن الطرق

	انحدار كوكس للمخاطر النسبية	انحدار البقاء
المجال	تحليل البقاء	الإحصاء
العائلة	Survival analysis	Regression model
سنة النشأة	1972	1980s
صاحب الطريقة	Cox, D. R.	Kalbfleisch & Prentice; Cox & Oakes
النوع	Semi-parametric hazard regression model	Parametric survival model
المصدر التأسيسي	Cox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202.	Kalbfleisch, J. D., & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley. ISBN: 978-0471363576
الأسماء البديلة	cox ph model, proportional hazards model, cox ph regression, Cox Orantılı Tehlikeler Regresyonu	accelerated failure time model, AFT model, parametric survival model, time-to-event regression
ذات صلة	3	3
الملخص	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.	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.