The SURVEYLOGISTIC Procedure
- Overview
- Getting Started
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Syntax
PROC SURVEYLOGISTIC StatementBY StatementCLASS StatementCLUSTER StatementCONTRAST StatementDOMAIN StatementEFFECT StatementESTIMATE StatementFREQ StatementLSMEANS StatementLSMESTIMATE StatementMODEL StatementOUTPUT StatementREPWEIGHTS StatementSLICE StatementSTORE StatementSTRATA StatementTEST StatementUNITS StatementWEIGHT Statement -
DetailsMissing ValuesModel SpecificationModel FittingSurvey Design InformationLogistic Regression Models and ParametersVariance EstimationDomain AnalysisHypothesis Testing and EstimationLinear Predictor, Predicted Probability, and Confidence LimitsOutput Data SetsDisplayed OutputODS Table NamesODS Graphics
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Examples
- References
You can use the Output Delivery System (ODS) to create a SAS data set from any piece of PROC SURVEYLOGISTIC output. See the section ODS Table Names for more information. For a more detailed description of using ODS, see Chapter 20: Using the Output Delivery System.
PROC SURVEYLOGISTIC also provides an OUTPUT statement to create a data set that contains estimated linear predictors, the estimates of the cumulative or individual response probabilities, and their confidence limits.
If you use BRR or jackknife variance estimation, PROC SURVEYLOGISTIC provides an output data set that stores the replicate weights and an output data set that stores the jackknife coefficients for jackknife variance estimation.