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 the Life Distribution platform 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 in Life Distribution

Statistics for Life Distribution

Life Distribution Report Options

Fit Mixture

Fit Competing Risk Mixture

Weibayes Report

Competing Cause Report

Competing Cause Workflow

Competing Cause Model

Cause Combination

Statistics for Competing Cause

Individual Causes

Competing Cause Report Options

Life Distribution - Compare Groups Report

Statistics for Compare Groups

Individual Group

Life Distribution - Compare Groups Report Options

Additional Examples of the Life Distribution Platform

Example of Omitting Competing Causes

Example of Axis Scale Changes in the Compare Distributions Plot

Example of Comparing the Same Distribution across Groups

Example of Weibayes Analysis

Example of Fitting Mixture Distributions

Example of Fitting a Competing Risk Mixture

Example of Fitting a Fixed Parameter Competing Cause Model

Statistical Details for the Life Distribution Platform

Statistical Details for Distributions

Statistical Details for Competing Causes

Statistical Details for Median Rank Regression

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