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.
Example of a Parametric Survival Fit
Contents 
Fit Parametric Survival Overview
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 Fit Parametric Survival
Loss Formulas for Survival Distributions

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Help created on 9/19/2017