The SEVSELECT Procedure
Functional Summary
Table 14.1 summarizes the statements and options that control the SEVSELECT procedure.
Table 14.1: 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 distributions to fit | ||
Specifies the classification variables | ||
Specifies the constructed regression effects | ||
Specifies the regression effects to model | ||
Specifies the options for selecting the best subset of regression effects | ||
Specifies the ODS tables to display (an alternative to the PRINT= option) | ||
Specifies the ODS tables to save as CAS output tables | ||
Specifies the scoring functions and quantiles to write | ||
Specifies the library to write scoring functions to | ||
Specifies the optimization options | ||
Specifies programming statements that define an objective function | ||
Input and Output Options | ||
Specifies the input data table | ||
Specifies the input data table for parameter estimates | ||
Specifies the output data table for estimates of scoring functions and quantiles | ||
Specifies the output data table for parameter estimates | ||
Specifies the output data table for model information | ||
Specifies the output data table 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 | ||
Distribution Processing Options | ||
Specifies the CAS table to read the distribution definitions from | ||
Specifies that distributions be listed in the log without estimating any models that use them | ||
Specifies the CAS table to write the distribution definitions to | ||
Specifies that distributions be validated without estimating any models that use them | ||
Model Estimation Options | ||
Specifies the method for computing mixture distribution | ||
Specifies that informative missingness be used to model missing values of regressors | ||
Specifies initial values for model parameters | ||
Specifies the sample to be used for computing initial parameter estimates | ||
Specifies the objective function symbol | ||
Specifies the offset variable in the scale regression model | ||
Specifies the denominator for computing covariance estimates | ||
Regression Effect Selection Options | ||
Specifies whether and how the model hierarchy requirement is applied | ||
Specifies the set of regression effects to be forced in all models | ||
Specifies the selection method | ||
Specifies the selection order for displaying effects in the selected model | ||
Specifies the optimization technique to use for the intermediate selection steps | ||
Specifies the set of regression effects to begin the selection process | ||
Specifies how to apply the STOP= criterion | ||
Regression Effect Selection Method Options | ||
Specifies a criterion for choosing the best model at each step | ||
Specifies that the competitive form of the stepwise selection method be used | ||
Specifies the maximum number of effects in the model | ||
Specifies the maximum number of selection steps | ||
Specifies the minimum number of effects in the model | ||
Specifies a criterion to decide which effects enter or leave the model at each step | ||
Specifies a criterion for stopping the selection process | ||
Empirical Distribution Function (EDF) Estimation Options | ||
Specifies the nonparametric method of CDF estimation | ||
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 Table Generation Options | ||
Specifies the variables to copy from the DATA= data table to the OUT= data table | ||
Specifies the scoring functions to estimate | ||
Specifies the quantiles to estimate | ||
OUTEST= Data Table Generation Options | ||
Specifies that the OUTEST= data table contain covariance estimates | ||
Specifies that only the selected regression parameters be written | ||
Specifies that estimates of parameters not in the final model be 0 | ||
Scoring Function Generation Options | ||
Writes scoring functions of all models to one package | ||
Specifies the output data set for BY-group identifiers | ||
Specifies the output library for scoring functions | ||
Displayed Output Options | ||
Specifies the criterion to report in the model selection table | ||
Specifies the level of detail to be produced about the selection process | ||
Specifies the confidence level for reporting the confidence interval for EDF estimates | ||
Limits or suppresses the display of class levels | ||
Suppresses all displayed and graphical output | ||
Specifies which graphical output to prepare | ||
Specifies which graphical output to prepare about the selection process | ||
Specifies which output to display | ||