JMP 12 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Specialized Models
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
Capabilities Index
Reliability and Survival Methods
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Fit Parametric Survival
• The Parametric Survival Fit Report
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The Parametric Survival Fit Report
The Parametric Survival Fit report shows the following:
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At the top of the report, the model fit is described. The Time to event shows which Y column is specified, and the Distribution shows which distribution is fit. AICc, BIC, and -2*LogLikelihood are all measures of the model fit. These measures allow for comparisons to other model fits. Observation Used and Uncensored Values are summary statistics for the data.
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The Whole Model Test compares the complete fit with what would have been fit if no regressor variables were in the model and only an intercept term were fit.
Note:
If there is only an intercept term, the fit is the same as that from the Survival platform.
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The Parameter Estimates report shows the estimates of the regression parameters.
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The Effect Likelihood Ratio Tests compare the log likelihood from the fitted model to one that removes each term from the model individually.
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The Plot Survival Quantiles plot shows the data points plotted with the 0.1, 0.5, and 0.9 quantiles.
The Parametric Survival Fit Report