JMP 12 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Specialized Models
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
Capabilities Index
Reliability and Survival Methods
• Fit Proportional Hazards
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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.
Example of a Proportional Hazards Fit
Contents
Fit Proportional Hazards Overview
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