The GLIMMIX Procedure
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Overview
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Getting Started
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SyntaxPROC GLIMMIX StatementBY StatementCLASS StatementCODE StatementCONTRAST StatementCOVTEST StatementEFFECT StatementESTIMATE StatementFREQ StatementID StatementLSMEANS StatementLSMESTIMATE StatementMODEL StatementNLOPTIONS StatementOUTPUT StatementPARMS StatementRANDOM StatementSLICE StatementSTORE StatementWEIGHT StatementProgramming StatementsUser-Defined Link or Variance Function
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DetailsGeneralized Linear Models TheoryGeneralized Linear Mixed Models TheoryGLM Mode or GLMM ModeStatistical Inference for Covariance ParametersDegrees of Freedom MethodsEmpirical Covariance (Sandwich) EstimatorsExploring and Comparing Covariance MatricesProcessing by SubjectsRadial Smoothing Based on Mixed ModelsOdds and Odds Ratio EstimationParameterization of Generalized Linear Mixed ModelsResponse-Level Ordering and ReferencingComparing the GLIMMIX and MIXED ProceduresSingly or Doubly Iterative FittingDefault Estimation TechniquesDefault OutputNotes on Output StatisticsODS Table NamesODS Graphics
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ExamplesBinomial Counts in Randomized BlocksMating Experiment with Crossed Random EffectsSmoothing Disease Rates; Standardized Mortality RatiosQuasi-likelihood Estimation for Proportions with Unknown DistributionJoint Modeling of Binary and Count DataRadial Smoothing of Repeated Measures DataIsotonic Contrasts for Ordered AlternativesAdjusted Covariance Matrices of Fixed EffectsTesting Equality of Covariance and Correlation MatricesMultiple Trends Correspond to Multiple Extrema in Profile LikelihoodsMaximum Likelihood in Proportional Odds Model with Random EffectsFitting a Marginal (GEE-Type) ModelResponse Surface Comparisons with Multiplicity AdjustmentsGeneralized Poisson Mixed Model for Overdispersed Count DataComparing Multiple B-SplinesDiallel Experiment with Multimember Random EffectsLinear Inference Based on Summary DataWeighted Multilevel Model for Survey Data
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The following statements are available in the GLIMMIX procedure:
PROC GLIMMIX
<options> ;
BY
variables ;
CLASS
variable <(REF= option)> …<variable <(REF= option)>> </ global-options> ;
CODE
<options> ;
CONTRAST
'label' contrast-specification <, contrast-specification> <, …> </ options> ;
COVTEST
<'label'> <test-specification> </ options> ;
EFFECT
effect-specification ;
ESTIMATE
'label' contrast-specification <(divisor=n)>
<, 'label' contrast-specification <(divisor=n)>> <, …> </ options> ;
FREQ
variable ;
ID
variables ;
LSMEANS
fixed-effects </ options> ;
LSMESTIMATE
fixed-effect <'label'> values <divisor=n>
<, <'label'> values <divisor=n>> <, …> </ options> ;
MODEL
response<(response-options)> = <fixed-effects> </ model-options> ;
MODEL
events/trials = <fixed-effects> </ model-options> ;
NLOPTIONS
<options> ;
OUTPUT
<OUT=SAS-data-set>
<keyword<(keyword-options)> <=name>> …
<keyword<(keyword-options)> <=name>> </ options> ;
PARMS
(value-list)…</ options> ;
RANDOM
random-effects </ options> ;
SLICE
model-effect </ options> ;
STORE
<OUT=>item-store-name </ LABEL='label'> ;
WEIGHT
variable ;
Programming statements
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The CLASS, CONTRAST, COVTEST, EFFECT, ESTIMATE, LSMEANS, LSMESTIMATE, RANDOM and SLICE statements and the programming statements can appear multiple times. The PROC GLIMMIX and MODEL statements are required, and the MODEL statement must appear after the CLASS statement if a CLASS statement is included. The EFFECT statements must appear before the MODEL statement.
The SLICE statement is also available in many other procedures. A summary description of functionality and syntax for this statement is given in this chapter. You can find full documentation in the section SLICE Statement in Chapter 19: Shared Concepts and Topics.