Competing Cause Report Options
The Competing Cause red triangle menu contains the following options:
Tabbed Report
Organizes the sections of the Competing Cause report into tabs.
Tabbed Report for Individual Causes
Organizes the Life Distribution reports in the Individual Causes section into tabs.
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 the Show Points option, the midpoint estimates are replaced by Kaplan-Meier estimates.
Show Subdistributions
Shows or hides the profiler for each individual cause subdistribution 
. See Individual Subdistribution Profiler for Cause. When you select the Show Subdistributions option, the Cause Combination plot updates to show the subdistribution functions for all causes.
Note: Causes with a Bayesian method specified are not included in the subdistribution calculations.
Show Remaining Life Distribution
Shows or hides the profiler of the remaining life distribution, which is conditional upon the unit surviving through a given time.
Mean Remaining Life
Shows or hides the Mean Remaining Life Calculator, which enables you to estimate the mean remaining life of a unit at a given survival time. In the Mean Remaining Life Calculator, enter a time value and press Enter to see the estimate. 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 red triangle menu. Check the Use bootstrap to construct confidence intervals option. Enter appropriate values, keeping in mind that the computation can be time-intensive. See Mean Remaining Life Calculator.
Export Bootstrap Results
(Available only when a Bayesian model is selected and the Update Model button has been clicked.) Saves the bootstrap results to a new data table. A bootstrap method is used to obtain Bayesian estimates or Weibayes results. For Bayesian and Weibayes methods, the confidence limits for the aggregated functions that appear in the Distribution Profiler must be simulated using a parametric bootstrap. The data table contains scripts to assist in examining the posterior samples.
Bootstrap Sample Size
Specifies the number of samples to be used in the bootstrap method that is used to obtain Bayesian estimates or Weibayes results. For Bayesian and Weibayes methods, the confidence limits for the aggregated functions that appear in the Distribution Profiler must be simulated using a parametric bootstrap. See Specify a Bayesian Model for a Cause.
See Local Data Filters in JMP Reports, Redo Menus in JMP Reports, Group Platform, and Save Script Menus in JMP 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.
Platform Preferences
Contains options that enable you to view the current platform preferences or update the platform preferences to match the settings in the current JMP report.
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.
Note: Additional options for this platform are available through scripting. Open the Scripting Index under the Help menu. In the Scripting Index, you can also find examples for scripting the options that are described in this section.
Individual Subdistribution Profiler for Cause
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 the Show Subdistributions option, the Cause Combination plot updates 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.