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
| WEIGHT Statement |
- WEIGHT variable ;
If you want to use weights for each observation in the input data set, place the weights in a variable in the data set and specify the name in a WEIGHT statement. The values of the WEIGHT variable can be nonintegral and are not truncated. Observations with nonpositive or missing values for the weight variable do not contribute to the fit of the model. The WEIGHT variable multiplies the contribution to the log likelihood for each observation.