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 75

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).