Reliability and Survival Methods • Fit Parametric Survival
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Fit Parametric Survival
Fit Survival Data Using Regression Models
Survival times can be expressed as a function of one or more variables. When this is the case, use a regression platform that fits a linear regression model while taking into account the survival distribution and censoring. The Fit Parametric Survival platform fits the time to event Y (with censoring) using linear regression models that can involve both location and scale effects. The fit is performed using the Weibull, lognormal, exponential, Fréchet, and loglogistic distributions.
Note: The Fit Parametric Survival platform is a slightly customized version of the Fit Model platform. You can also fit parametric survival models using the Nonlinear platform.
Figure 13.1 Example of a Parametric Survival Fit
Contents 
Overview of the Fit Parametric Survival Platform
Example of Parametric Regression Survival Fitting
Launch the Fit Parametric Survival Platform
The Parametric Survival Fit Report
The Parametric Survival - All Distributions Report
Parametric Competing Cause Report
Fit Parametric Survival Options
Nonlinear Parametric Survival Models
Additional Examples of Fitting Parametric Survival
Arrhenius Accelerated Failure LogNormal Model
Interval-Censored Accelerated Failure Time Model
Analyze Censored Data Using the Nonlinear Platform
Left-Censored Data
Weibull Loss Function Using the Nonlinear Platform
Fitting Simple Survival Distributions Using the Nonlinear Platform
Statistical Details for the Fit Parametric Survival Platform
Loss Formulas for Survival Distributions

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Help created on 10/11/2018