SAS for Mixed Models

Chapter 6: Random Effects Models

6.1 Introduction: Descriptions of Random Effects Models. 145

6.1.1 Influent Example. 145

6.1.2 PROC MIXED to Estimate the Variance Components. 148

6.1.3 PROC GLIMMIX to Estimate Variance Components. 148

6.1.4 The Mixed Model Equations. 149

6.1.5 Method of Moments Estimators Using PROC MIXED.. 150

6.2 One-Way Random Effects Treatment Structure: Influent Example. 151

6.2.1 The MIXED Procedure. 151

6.2.2 The GLIMMIX Procedure. 154

6.2.3 Comparison of the Estimation Methods Available in the MIXED and GLIMMIX Procedures. 157

6.3 A Simple Conditional Hierarchical Linear Model: An Example. 160

6.3.1 PROC MIXED to Analyze the Data. 160

6.3.2 PROC GLIMMIX for the Analysis and Confidence Intervals. 164

6.4 Three-Level Nested ...