The SEVERITY Procedure
Functional Summary
Table 29.1 summarizes the statements and options that control the SEVERITY procedure.
Table 29.1: Functional Summary
Description | Statement | Option |
|---|---|---|
Statements | ||
Specifies BY-group processing | ||
Specifies the response variable to model along with censoring and truncation effects | ||
Specifies the weight variable | ||
Specifies the classification variables | ||
Specifies the regression effects to model | ||
Specifies distributions to fit | ||
Specifies the scoring functions and quantiles to write | ||
Specifies the library to write scoring functions to | ||
Specifies optimization options | ||
Specifies programming statements that define an objective function | ||
Input and Output Options | ||
Specifies that the OUTEST= data set contain covariance estimates | ||
Specifies the input data set | ||
Specifies the input data set for parameter estimates | ||
Specifies the input item store for parameter initialization | ||
Limits the length of effect names | ||
Specifies the output data set for estimates of scoring functions and quantiles | ||
Specifies the output data set for CDF estimates | ||
Specifies the output data set for parameter estimates | ||
Specifies the output data set for model information | ||
Specifies the output data set for statistics of fit | ||
Specifies the output item store for context and estimation results | ||
Data Interpretation Options | ||
Specifies left-censoring | ||
Specifies left-truncation | ||
Specifies the probability of observability | ||
Specifies right-censoring | ||
Specifies right-truncation | ||
Model Estimation Options | ||
Specifies the model selection criterion | ||
Specifies the method for computing mixture distribution | ||
Specifies initial values for model parameters | ||
Specifies the objective function symbol | ||
Specifies the offset variable in the scale regression model | ||
Specifies the denominator for computing covariance estimates | ||
Empirical Distribution Function (EDF) Estimation Options | ||
Specifies the confidence level for reporting the confidence interval for EDF estimates | ||
Specifies the nonparametric method of CDF estimation | ||
Specifies the sample to be used for computing the EDF estimates | ||
EMPIRICALCDF=MODIFIEDKM Options | ||
Specifies the c value for the lower bound on risk set size | ||
Specifies the absolute lower bound on risk set size | ||
EMPIRICALCDF=TURNBULL Options | ||
Specifies that the final EDF estimates be maximum likelihood estimates | ||
Specifies the relative convergence criterion | ||
Specifies the maximum number of iterations | ||
Specifies the threshold below which an EDF estimate is deemed to be 0 | ||
OUT= Data Set Generation Options | ||
Specifies the variables to copy from the DATA= data set to the OUT= data set | ||
Specifies the scoring functions to estimate | ||
Specifies the quantiles to estimate | ||
Scoring Function Generation Options | ||
Specifies that scoring functions of all models be written to one package | ||
Specifies the output data set for BY-group identifiers | ||
Specifies the output library for scoring functions | ||
Displayed Output and Plotting Options | ||
Specifies that distributions be listed to the log without estimating any models that use them | ||
Limits or suppresses the display of class levels | ||
Suppresses all displayed and graphical output | ||
Specifies which graphical output to prepare | ||
Specifies which output to display | ||
Specifies that distributions be validated without estimating any models that use them | ||
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