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About This Book
Dedication and Acknowledgments
Chapter 1: Mixed Model Basics
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
2.2 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
Chapter 3: Mean Comparisons for Fixed ...