The Parametric Survival Fit red triangle menu contains the following options:
Likelihood Ratio Tests
Shows or hides likelihood ratio tests for each effect. Each test compares the log-likelihood for the fitted model to the log-likelihood for the model that removes an effect.
Wald Tests
Shows or hides 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 that are shown in the Parameter Estimates table. When this option is selected, a profile likelihood confidence interval appears. Otherwise, a Wald interval appears. 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
Shows or hides the matrix of correlations between the model effects for the specified fit.
Covariance of Estimates
Shows or hides the matrix of covariances between the model effects for the specified fit.
Estimate Survival Probability
Estimates the failure and survival probabilities for specified effect values and time values. Specify effect values and one or more time values. The failure and survival probabilities are reported with 95% confidence limits for all possible combinations of the entries.
Estimate Quantile
Estimates the quantiles for specified effect values and probabilities. Specify effect values and one or more quantile probabilities. The time quantiles are reported with 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 or hides a probability plot of the standardized residuals with confidence intervals. 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 one or two new columns to the data table. The number of residual columns matches the number of Time to Event columns in the model.
Distribution Profiler
Shows or hides a profiler of the cumulative distribution function of the predictors and the response. The response is shown in the right-most cell.
Quantile Profiler
Shows or hides a profiler that shows the predicted response as a function of the predictors and the quantile of the cumulative distribution function. The quantile is called Failure Probability and is shown in the right-most cell.
Hazard Profiler
Shows or hides a profiler that shows the hazard rate as a function of the predictors and the response. The response is shown in the right-most cell.
Distribution Plot by Level Combinations
Shows or hides a report that compares three nested models based on the levels of the X variable. This report contains 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 a new formula column to the data table. The new column contains a formula for the estimated probability of failure.
Save Quantile Formula
Saves a new formula column to the data table. The new column contains a formula for the estimated quantile. When you select this option, you must 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
Shows the completed Fit Model launch window for the current analysis.
Effect Summary
Shows or hides the Effect Summary report, which enables you to interactively update the effects in the model. See “Effect Summary Report” in Fitting Linear Models.
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.