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| The GLIMMIX Procedure |
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- Overview: GLIMMIX Procedure
- Getting Started: GLIMMIX Procedure
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Syntax: GLIMMIX Procedure
- 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: GLIMMIX Procedure
- 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: GLIMMIX Procedure
- 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
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