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| The GLIMMIX Procedure |
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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