A proportional hazards model writes , so covariates multiply the baseline hazard by a ratio that does not depend on time.
A proportional hazards family consists of event-time distributions whose hazard functions are constant multiples of a common baseline hazard.
A semiparametric proportional hazards model specifies a finite-dimensional hazard ratio while leaving the baseline hazard function unspecified.
Articles by others on the same topic
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.