We compared the risks between treatments with the Cox proportional hazards model.

A well-known example of a semiparametric model is the Cox proportional hazards model.

It is a key component of the proportional hazards model.

Other non-linear models, such as proportional hazards models for survival analysis, have been considered only with a single predictor subject to variability.

Proportional hazards models are a class of survival models in statistics.

In a proportional hazards model, the unique effect of a unit increase in a covariate is multiplicative with respect to the hazard rate.

The effect of covariates estimated by any proportional hazards model can thus be reported as hazard ratios.

The generic term parametric proportional hazards models can be used to describe proportional hazards models in which the hazard function is specified.

The Cox proportional hazards model is sometimes called a semiparametric model by contrast.

However, this usage is potentially ambiguous since the Cox proportional hazards model can itself be described as a regression model.