The SURVEYLOGISTIC Procedure
- Overview
- Getting Started
-
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
-
Examples
- References
Generalized Logit Model
For nominal response, a generalized logit model is to fit the ratio of the expected proportion for each response category over the expected proportion of a reference category with a logit link function.
Without loss of generality, let category 
be the reference category for the response variable Y. Denote the expected proportion for the dth category by 
as in the section Notation. Then the generalized logit model can be written as
![\[ \log \left(\frac{\pi _{hijd}}{\pi _{hij(D+1)}}\right) =\mb {x}_{hij}\bbeta _ d \]](images/statug_surveylogistic0232.png){kind=small} |
for 
with the model parameters
 |
 |
 |
 |
|
 |