The LIFEREG Procedure
- Overview
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Getting Started
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Syntax
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Details
Missing Values Model Specification Computational Method Supported Distributions Predicted Values Confidence Intervals Fit Statistics Probability Plotting INEST= Data Set OUTEST= Data Set XDATA= Data Set Computational Resources Bayesian Analysis Displayed Output for Classical Analysis Displayed Output for Bayesian Analysis ODS Table Names ODS Graphics
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Examples
Motorette Failure Computing Predicted Values for a Tobit Model Overcoming Convergence Problems by Specifying Initial Values Analysis of Arbitrarily Censored Data with Interaction Effects Probability Plotting—Right Censoring Probability Plotting—Arbitrary Censoring Bayesian Analysis of Clinical Trial Data
- References
| Model Specification |
Main effects as well as interaction terms are allowed in the model specification, similar to the GLM procedure. For numeric variables, a main effect is a linear term equal to the value of the variable unless the variable appears in the CLASS statement. For variables listed in the CLASS statement, PROC LIFEREG creates indicator variables (variables taking the values zero or one) for every level of the variable except the last level. If there is no intercept term, the first CLASS variable has indicator variables created for all levels including the last level. The levels are ordered according to the ORDER= option. Estimates of a main effect depend upon other effects in the model and, therefore, are adjusted for the presence of other effects in the model.