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
-
Examples
- References
Linear hypotheses for 
are expressed in matrix form as
![\[ H_0\colon \mb {L}\btheta = \mb {c} \]](images/statug_surveylogistic0328.png){kind=small}
where 
is a matrix of coefficients for the linear hypotheses and 
is a vector of constants. The vector of regression coefficients includes slope parameters as well as intercept parameters. The Wald chi-square statistic for testing 
is computed as
![\[ \chi ^2_{W} = (\mb {L}\hat{\btheta } - \mb {c})’ [{\mb {L}\hat{\bV }(\hat{\btheta })\mb {L}’}]^{-1} (\mb {L}\hat{\btheta } - \mb {c}) \]](images/statug_surveylogistic0329.png){kind=small}
where 
is the estimated covariance matrix in the section Variance Estimation. Under , 
has an asymptotic chi-square distribution with r degrees of freedom, where r is the rank of .