The SURVEYLOGISTIC Procedure

ODS Table Names

PROC SURVEYLOGISTIC assigns a name to each table it creates; these names are listed in Table 95.10. You can use these names to refer the table when using the Output Delivery System (ODS) to select tables and create output data sets. The EFFECT, ESTIMATE, LSMEANS, LSMESTIMATE, and SLICE statements also create tables, which are not listed in Table 95.10. For information about these tables, see the corresponding sections of Chapter 19: Shared Concepts and Topics.

For more information about ODS, see Chapter 20: Using the Output Delivery System.

Table 95.10: ODS Tables Produced by PROC SURVEYLOGISTIC

ODS Table Name	Description	Statement	Option
Association	Association of predicted probabilities and observed responses	MODEL	Default
ClassLevelInfo	CLASS variable levels and design variables	MODEL	Default (with CLASS variables)
CLOddsWald	Wald’s confidence limits for odds ratios	MODEL	CLODDS
CLparmWald	Wald’s confidence limits for parameters	MODEL	CLPARM
ContrastCoeff	$\mb {L}$ matrix from CONTRAST	CONTRAST	E
ContrastEstimate	Estimates from CONTRAST	CONTRAST	ESTIMATE=
ContrastTest	Wald test for CONTRAST	CONTRAST	Default
ConvergenceStatus	Convergence status	MODEL	Default
CorrB	Estimated correlation matrix of parameter estimators	MODEL	CORRB
CovB	Estimated covariance matrix of parameter estimators	MODEL	COVB
CumulativeModelTest	Test of the cumulative model assumption	MODEL	(Ordinal response)
DomainSummary	Domain summary	DOMAIN	Default
FitStatistics	Model fit statistics	MODEL	Default
GlobalTests	Test for global null hypothesis	MODEL	Default
HadamardMatrix	Hadamard matrix	PROC	PRINTH
IterHistory	Iteration history	MODEL	ITPRINT
LastGradient	Last evaluation of gradient	MODEL	ITPRINT
Linear	Linear combination	PROC	Default
LogLikeChange	Final change in the log likelihood	MODEL	ITPRINT
ModelInfo	Model information	PROC	Default
NObs	Number of observations	PROC	Default
OddsEst	Adjusted odds ratios	UNITS	Default
OddsRatios	Odds ratios	MODEL	Default
ParameterEstimates	Maximum likelihood estimates of model parameters	MODEL	Default
RSquare	R-square	MODEL	RSQUARE
ResponseProfile	Response profile	PROC	Default
StrataInfo	Stratum information	STRATA	LIST
TestPrint1	$\mb {L}[\mr {cov}(\mb {b})]\mb {L}’$ and $\mb {Lb}-\mb {c}$	TEST	PRINT
TestPrint2	$\mr {Ginv}(\mb {L}[\mr {cov}(\mb {b})]\mb {L}’)$ and $\mr {Ginv}(\mb {L}[\mr {cov}(\mb {b})]\mb {L}’)(\mb {Lb}-\mb {c})$	TEST	PRINT
TestStmts	Linear hypotheses testing results	TEST	Default
Type3	Type III tests of effects	MODEL	Default (with CLASS variables)
VarianceEstimation	Variance estimation	PROC	Default