The GENMOD Procedure
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Overview
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Getting Started
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SyntaxPROC GENMOD StatementASSESS StatementBAYES StatementBY StatementCLASS StatementCODE StatementCONTRAST StatementDEVIANCE StatementEFFECTPLOT StatementESTIMATE StatementEXACT StatementEXACTOPTIONS StatementFREQ StatementFWDLINK StatementINVLINK StatementLSMEANS StatementLSMESTIMATE StatementMODEL StatementOUTPUT StatementProgramming StatementsREPEATED StatementSLICE StatementSTORE StatementSTRATA StatementVARIANCE StatementWEIGHT StatementZEROMODEL Statement
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DetailsGeneralized Linear Models TheorySpecification of EffectsParameterization Used in PROC GENMODType 1 AnalysisType 3 AnalysisConfidence Intervals for ParametersF StatisticsLagrange Multiplier StatisticsPredicted Values of the MeanResidualsMultinomial ModelsZero-Inflated ModelsTweedie Distribution For Generalized Linear ModelsGeneralized Estimating EquationsAssessment of Models Based on Aggregates of ResidualsCase Deletion Diagnostic StatisticsBayesian AnalysisExact Logistic and Exact Poisson RegressionMissing ValuesDisplayed Output for Classical AnalysisDisplayed Output for Bayesian AnalysisDisplayed Output for Exact AnalysisODS Table NamesODS Graphics
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ExamplesLogistic RegressionNormal Regression, Log Link Gamma Distribution Applied to Life DataOrdinal Model for Multinomial DataGEE for Binary Data with Logit Link FunctionLog Odds Ratios and the ALR AlgorithmLog-Linear Model for Count DataModel Assessment of Multiple Regression Using Aggregates of ResidualsAssessment of a Marginal Model for Dependent DataBayesian Analysis of a Poisson Regression ModelExact Poisson RegressionTweedie Regression
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The following statements are available in the GENMOD procedure. Items within the <> are optional.
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PROC GENMOD <options>;
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ASSESS | ASSESSMENT VAR=(effect)LINK </ options>;
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BAYES <options>;
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BY variables;
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CLASS variable <(options)> …<variable <(options)>> </ options>;
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CODE <options>;
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CONTRAST 'label' contrast-specification </ options>;
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DEVIANCE variable = expression;
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EFFECTPLOT <plot-type <(plot-definition-options)>> </ options>;
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ESTIMATE 'label' effect values <, …effect values> </ options>;
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EXACT <'label'> <INTERCEPT> <effects> </ options>;
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EXACTOPTIONS options;
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FREQ | FREQUENCY variable;
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FWDLINK variable = expression;
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INVLINK variable = expression;
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LSMEANS <model-effects> </ options>;
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LSMESTIMATE model-effect <'label'> values <divisor=n> <, …<'label'> values <divisor=n>> </ options>;
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MODEL response = <effects > </ options>;
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OUTPUT <OUT=SAS-data-set> <keyword=name …keyword=name>;
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REPEATED SUBJECT=subject-effect </ options>;
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SLICE model-effect </ options>;
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STORE <OUT=>item-store-name </ LABEL='label'>;
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STRATA variable <(option)> …<variable <(option)>> </ options>;
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WEIGHT | SCWGT variable;
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VARIANCE variable = expression ;
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ZEROMODEL <effects > </ options>;
The ASSESS , BAYES , BY , CLASS , CODE , CONTRAST , DEVIANCE , ESTIMATE , FREQUENCY , FWDLINK , INVLINK , MODEL , OUTPUT , programming statements , REPEATED , VARIANCE , WEIGHT , and ZEROMODEL statements are described in full after the PROC GENMOD statement in alphabetical order. The EFFECTPLOT , LSMEANS , LSMESTIMATE , SLICE , and STORE statements are common to many procedures. Summary descriptions of functionality and syntax for these statements are also given after the PROC GENMOD statement in alphabetical order, and full documentation about them is available in Chapter 19: Shared Concepts and Topics.
The PROC GENMOD statement invokes the GENMOD procedure. All statements other than the MODEL statement are optional. The CLASS statement, if present, must precede the MODEL statement, and the CONTRAST and EXACT statements must come after the MODEL statement.