The Parametric Survival Fit red triangle menu contains the following options:
Likelihood Ratio Tests
Produces tests that compare the log-likelihood from the fitted model to one that removes each term from the model individually.
Wald Tests
Produces chi-square test statistics and p-values for Wald tests of whether each parameter is zero.
Likelihood Confidence Intervals
Specifies the type of confidence intervals shown in the Parameter Estimates table for each parameter. When this option is selected, a profile likelihood confidence interval appears. Otherwise, a Wald interval is shown. In the report, the interval type is noted below the Parameter Estimates table. This option is on by default when the computational time for the profile likelihood confidence intervals is not large.
Note: You can change the α level for the confidence intervals by selecting Set Alpha Level from the red triangle menu in the Fit Model launch window. The default α level is 0.05.
Correlation of Estimates
Produces a correlation matrix for the model effects with each other and with the parameter of the fitting distribution.
Covariance of Estimates
Produces a covariance matrix for the model effects with each other and with the parameter of the fitting distribution.
Estimate Survival Probability
Estimates the failure and survival probabilities for the given time values. Specify effect values and one or more time values. JMP then calculates the survival and failure probabilities with 95% confidence limits for all possible combinations of the entries.
Estimate Quantile
Estimates the quantiles for the given probabilities. Specify effect values and one or more quantile probabilities. JMP then calculates the time quantiles and 95% confidence limits for all possible combinations of the entries.
Note: For the Estimate Survival Probability and Estimate Quantile options, you can change the alpha level from the default of 0.05.
Residual Probability Plot
Shows a probability plot of the standardized residuals. For location-scale distributions, the standardized residuals are defined as (Y–μ(X))/σ(X). For log-location-scale distributions, the standardized residuals are defined as exp(log(Y)–μ(X))/σ(X). For all distributions, μ(X) and σ(X) are linear functions of the covariates defined by the model specification for the location and scale effects, respectively. These standardized residuals are a type of Cox-Snell residuals. See Meeker and Escobar (1998, sec. 17.6.1) for a discussion of Cox-Snell residuals.
Save Residuals
Saves the residuals to a new column in the data table. For interval-censored observations, two columns of residuals are saved to the data table.
Distribution Profiler
Shows the response surfaces of the failure probability versus individual explanatory and response variables.
Quantile Profiler
Shows the response surfaces of the response variable versus the explanatory variable and the failure probability.
Distribution Plot by Level Combinations
Shows three probability plots for assessing model fit. The plots show different lines for each combination of the X levels.
Separate Location
A probability plot assuming equal scale parameters and separate location parameters. This is useful for assessing the parallelism assumption.
Separate Location and Scale
A probability plot assuming different scale and location parameters. This is useful for assessing if the distribution is adequate for the data. This plot is not shown for the Exponential distribution.
Regression
A probability plot for which the distribution parameters are functions of the X variables.
Save Probability Formula
Saves the estimated probability formula to a new column in the data table.
Save Quantile Formula
Saves the estimated quantile formula to a new column in the data table. Selecting this option displays a pop-up window, asking you to enter a probability value for the quantile of interest.
Publish Probability Formula
Creates a probability formula and saves it as a formula column script in the Formula Depot platform. If a Formula Depot report is not open, this option creates a Formula Depot report. See Formula Depot in Predictive and Specialized Modeling.
Publish Quantile Formula
Creates a quantile formula and saves it as a formula column script in the Formula Depot platform. If a Formula Depot report is not open, this option creates a Formula Depot report. See Formula Depot in Predictive and Specialized Modeling.
Model Dialog
Relaunches the launch window.
Effect Summary
Shows the interactive Effect Summary report that enables you to add or remove effects from the model. See “Effect Summary Report” in Fitting Linear Models.
See Local Data Filters in JMP Reports, Redo Menus in JMP Reports, Save Platform Preferences, 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.