The GLIMMIX Procedure
Details: GLIMMIX Procedure
Subsections:
Generalized Linear Models Theory
Generalized Linear Mixed Models Theory
GLM Mode or GLMM Mode
Statistical Inference for Covariance Parameters
Degrees of Freedom Methods
Empirical Covariance ("Sandwich") Estimators
Exploring and Comparing Covariance Matrices
Predictive Margins Compared with LS-Means
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
Last updated: December 09, 2022