SAS for Mixed Models

 

Contents

 

About This Book

Dedication and Acknowledgments

Chapter 1: Mixed Model Basics

1.1 Introduction

1.2 Statistical Models

1.3 Forms of Linear Predictors

1.4 Fixed and Random Effects

1.5 Mixed Models

1.6 Typical Studies and Modeling Issues That Arise

1.7 A Typology for Mixed Models

1.8 Flowcharts to Select SAS Software to Run Various Mixed Models

Chapter 2: Design Structure I: Single Random Effect

2.1 Introduction

2.2 Mixed Model for a Randomized Block Design

2.3 The MIXED and GLIMMIX Procedures to Analyze RCBD Data

2.4 Unbalanced Two-Way Mixed Model: Examples with Incomplete Block Design

2.5 Analysis with a Negative Block Variance Estimate: An Example

2.6 Introduction to Mixed Model Theory

2.7 Summary

Chapter 3: Mean Comparisons for Fixed ...