The GLIMMIX Procedure
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Overview
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Getting Started
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Syntax
PROC GLIMMIX Statement BY Statement CLASS Statement CONTRAST Statement COVTEST Statement EFFECT Statement ESTIMATE Statement FREQ Statement ID Statement LSMEANS Statement LSMESTIMATE Statement MODEL Statement NLOPTIONS Statement OUTPUT Statement PARMS Statement RANDOM Statement SLICE Statement STORE Statement WEIGHT Statement Programming Statements User-Defined Link or Variance Function
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Details
Generalized Linear Models Theory Generalized Linear Mixed Models Theory GLM Mode or GLMM Mode Statistical Inference for Covariance Parameters Satterthwaite Degrees of Freedom Approximation Empirical Covariance (Sandwich) Estimators Exploring and Comparing Covariance Matrices Processing by Subjects Radial Smoothing Based on Mixed Models Odds and Odds Ratio Estimation Parameterization of Generalized Linear Mixed Models Response-Level Ordering and Referencing Comparing the GLIMMIX and MIXED Procedures Singly or Doubly Iterative Fitting Default Estimation Techniques Default Output Notes on Output Statistics ODS Table Names ODS Graphics
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Examples
Binomial Counts in Randomized Blocks Mating Experiment with Crossed Random Effects Smoothing Disease Rates; Standardized Mortality Ratios Quasi-likelihood Estimation for Proportions with Unknown Distribution Joint Modeling of Binary and Count Data Radial Smoothing of Repeated Measures Data Isotonic Contrasts for Ordered Alternatives Adjusted Covariance Matrices of Fixed Effects Testing Equality of Covariance and Correlation Matrices Multiple Trends Correspond to Multiple Extrema in Profile Likelihoods Maximum Likelihood in Proportional Odds Model with Random Effects Fitting a Marginal (GEE-Type) Model Response Surface Comparisons with Multiplicity Adjustments Generalized Poisson Mixed Model for Overdispersed Count Data Comparing Multiple B-Splines Diallel Experiment with Multimember Random Effects Linear Inference Based on Summary Data
- References
Syntax: GLIMMIX Procedure
You can specify the following statements in the GLIMMIX procedure:
- PROC GLIMMIX <options> ;
- BY variables ;
- CLASS variables ;
- CONTRAST ’label’ contrast-specification <, contrast-specification> <, ...> </ options> ;
- COVTEST <’label’> <test-specification> </ options> ;
- EFFECT effect-specification ;
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ESTIMATE
’label’ contrast-specification <(divisor=n)>
<, ’label’ contrast-specification <(divisor=n)>> <, ...> </ options> ; - FREQ variable ;
- ID variables ;
- LSMEANS fixed-effects </ options> ;
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LSMESTIMATE
fixed-effect <’label’> values <divisor=
>
<, <’label’> values <divisor=n>> <, ...> </ options> ; - MODEL response<(response-options)> = <fixed-effects> </ model-options> ;
- MODEL events/trials = <fixed-effects> </ model-options> ;
- NLOPTIONS <options> ;
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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 ;
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 of Chapter 19, Shared Concepts and Topics.