Publication date: 08/13/2020

Life Distribution

Fit Distributions to Lifetime Data

The Life Distribution platform models time-to-event data. The platform accommodates both right-censored and interval-censored data. Use Life Distribution to do the following:

Compare multiple distributional fits to determine which distribution best fits your data.

Construct Bayesian fits.

Model zero-failure data.

Compare groups to analyze group differences.

Analyze multiple causes of failure.

Estimate the components of a mixture and estimate the probability that an observation comes from a given component.

Estimate the components of a competing risk mixture and estimate the impact of a component on an observation.

Figure 3.1 Distributional Fits and Comparisons 

Contents

Overview of the Life Distribution Platform

Example of the Life Distribution Platform

Launch the Life Distribution Platform

Life Distribution Report

Event Plot
Compare Distributions
Life Distribution: Statistics

Life Distribution Report Options

Mixture
Fit Competing Risk Mixture

Weibayes Report

Competing Cause Report

Competing Cause Workflow
Competing Cause Model
Cause Combination
Competing Cause: Statistics
Individual Causes
Competing Cause Report Options

Life Distribution - Compare Groups Report

Compare Groups: Statistics
Individual Group
Life Distribution - Compare Groups Report Options

Additional Examples of the Life Distribution Platform

Omit Competing Causes
Change the Scale
Examine the Same Distribution across Groups
Weibayes Estimates
Fit Mixture Example
Fit Competing Risk Mixture Example

Statistical Details for the Life Distribution Platform

Distributions
Competing Cause Details
Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).
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