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	कॉक्स प्रोपोर्शनल हैज़र्ड्स रिग्रेशन	सर्वाइवल रिग्रेशन (Survival Regression)
क्षेत्र	उत्तरजीविता	सांख्यिकी
परिवार	Survival analysis	Regression model
उद्भव वर्ष	1972	1980s
प्रवर्तक	Cox, D. R.	Kalbfleisch & Prentice; Cox & Oakes
प्रकार	Semi-parametric hazard regression model	Parametric survival model
मौलिक स्रोत	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
उपनाम	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
संबंधित	3	3
सारांश	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.