Reliability and Survival Methods • Fit Proportional Hazards
Previous
 • 
Next
Fit Proportional Hazards
Fit Survival Data Using Semi-Parametric 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 14.1 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

Previous
 • 
Next
Help created on 7/12/2018