The SURVEYLOGISTIC Procedure

PROC SURVEYLOGISTIC assigns a name to each table it creates; these names are listed in Table 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, MARGINS, and SLICE statements also create tables, which are not listed in Table 10. For information about these tables, see the corresponding sections of Chapter 20, Shared Concepts and Topics.

For more information about ODS, see Chapter 23, Using the Output Delivery System.

Table 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)
CLOdds	Confidence intervals for odds ratios	MODEL	CLODDS
CLparm	Confidence intervals for parameters	MODEL	CLPARM
ContrastCoeff	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
	(Ordinal response)
DomainSummary	Domain summary	DOMAIN	Default
FitStatistics	Model fit statistics	MODEL	Default
GlobalTests	Test for global null hypothesis	MODEL	Default
Gradient	Gradient evaluated at global null hypothesis	MODEL	GRADIENT
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
ModelANOVA	Joint or Type 3 tests of effects	MODEL	Default (with CLASS variables)
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	and	TEST	PRINT
TestPrint2	and	TEST	PRINT
TestStmts	Linear hypotheses testing results	TEST	Default
VarianceEstimation	Variance estimation	PROC	Default