The Competing Cause red triangle menu contains the following options:
Tabbed Report
Shows graphs and data on individual tabs rather than in the default outline style.
Tabbed Report for Individual Causes
Shows the Life Distribution - Failure Cause: <Distribution Name> reports in tabs, rather than as a stack of Life Distribution reports.
Show Points
Shows or hides data points in the Cause Combination plot. The Life Distribution platform uses the midpoint estimates of the step function to construct probability plots. When you deselect Show Points, the midpoint estimates are replaced by Kaplan-Meier estimates.
Show Subdistributions
Shows the profiler for each individual cause subdistribution . See Individual Subdistribution Profiler for Cause.
Show Remaining Life Distribution
Shows the remaining life distribution through the Distribution Profiler. This is conditional upon the unit surviving through a given time.
Mean Remaining Life
Estimates the mean remaining life of a unit, given a survival time. In the Mean Remaining Life Calculator, enter a time value and press Enter to see the estimate and confidence limits. Click the plus sign to enter additional times. Click the minus sign to remove the most recent entry.
To obtain a confidence interval, select the Configuration option from the Mean Remaining Life Calculator. Check Use bootstrap to construct confidence intervals. Enter appropriate values, keeping in mind that computation can be time-intensive. See Mean Remaining Life Calculator.
Export Bootstrap Results
Appears only when a Bayesian model is selected and when Update Model has been applied.
Bootstrap Sample Size
When Bayesian Estimates or Weibayes results are used for any cause, the confidence limits for aggregated functions that appear in the Distribution Profiler must be simulated using parametric bootstrap. Use this option to specify the number of samples to be used in the bootstrap. See Specify a Bayesian Model for a Cause.
See Local Data Filters in Reports, Redo Menus in Reports, and Save Script Menus in Reports in Using JMP for more information about the following options:
Local Data Filter
Shows or hides the local data filter that enables you to filter the data used in a specific report.
Redo
Contains options that enable you to repeat or relaunch the analysis. In platforms that support the feature, the Automatic Recalc option immediately reflects the changes that you make to the data table in the corresponding report window.
Save Script
Contains options that enable you to save a script that reproduces the report to several destinations.
Save By-Group Script
Contains options that enable you to save a script that reproduces the platform report for all levels of a By variable to several destinations. Available only when a By variable is specified in the launch window.
For a given cause, the Individual Subdistribution Profiler for Cause shows the estimated probability of failure,, from that cause at time t. The estimated probability takes into account failures from competing causes. See Competing Cause Model.
To show a profiler of the subdistribution for each cause, click the Competing Cause red triangle and select Show Subdistributions. The Individual Subdistribution Profiler for Cause report appears beneath the other profilers. It consists of a profiler and a calculator.
Note: When you select Show Subdistributions, the Cause Combination plot is updated to show the subdistribution functions for all causes.
Select a Cause from the list to the right of the profiler to see its profiler. Options that apply to the profiler are provided in the Individual Subdistribution Profiler for Cause red triangle menu. See Profilers.
Use the Calculator panel to find values of the subdistribution functions for all causes at one or more Time to Event values. Enter a value for the Time to Event variable. When you press Enter (or click outside the text box), values for each of the causes are updated. To add a Time to Event value, click the plus sign. To remove the most recent value, click the minus sign.