Fit Proportional Hazards

Fit Survival Data Using Semiparametric Regression Models

The Fit Proportional Hazards platform fits the Cox proportional hazards model, which assumes a multiplying relationship between covariates (predictors) and the hazard function.

Proportional hazards models are popular regression models for survival data with covariates. This model is semiparametric. The linear model is estimated, but the form of the hazard function is not. Time-varying covariates are not supported.

Note: The Fit Proportional Hazards platform is a slightly customized version of the Fit Model platform.

Figure 15.1 Example of a Proportional Hazards Fit 

Contents

Overview of the Fit Proportional Hazards Platforms

Example of the Fit Proportional Hazards Platform

Risk Ratios for One Nominal Effect with Two Levels

Launch the Fit Proportional Hazards Platform

The Fit Proportional Hazards Report

Fit Proportional Hazards Options

Example Using Multiple Effects and Multiple Levels

Risk Ratios for Multiple Effects and Multiple Levels