Chapter 3. Random Effects Models

3.1

Introduction: Descriptions of Random Effects Models

58

 

3.1.1

Using PROC MIXED to Estimate the Variance Components

61

 

3.1.2

The Mixed Model Equations

62

 

3.1.3

Method of Moments Estimators Using PROC MIXED

63

3.2

Example: One-Way Random Effects Treatment Structure

64

 

3.2.1

Using the MIXED Procedure

64

 

3.2.2

Using the GLM Procedure

71

 

3.2.3

Confidence Intervals about the Variance Components

73

3.3

Example: A Simple Conditional Hierarchical Linear Model

75

 

3.3.1

Using PROC MIXED to Analyze the Data

76

 

3.3.2

PROC GLM Part of the Analysis

80

3.4

Example: Three-Level Nested Design Structure

81

 

3.4.1

Three-Level Nested Linear Model, an Unconditional Hierarchical Nested Linear Model

81

 

3.4.2

Data Analysis Using the PROC MIXED METHOD=REML to Estimate ...

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