The proportional hazards model, often referred to as Cox proportional hazards model, is a type of regression model commonly used in survival analysis. It is primarily designed to examine the effect of various predictors or covariates on the time it takes for a particular event to occur, such as death, failure, or any other time-to-event outcome.
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A proportional hazards model writes , so covariates multiply the baseline hazard by a ratio that does not depend on time.