SAS for Mixed Models, Second Edition, 2nd Edition

Introduction

1

1.1 Types of Models That Produce Data

1.2 Statistical Models

1.3 Fixed and Random Effects

1.4 Mixed Models

1.5 Typical Studies and the Modeling Issues They Raise

1.5.1 Random Effects Model

1.5.2 Multi-location Example

1.5.3 Repeated Measures and Split-Plot Experiments

1.5.4 Fixed Treatment, Random Block, Non-normal (Binomial) Data Example

1.5.5 Repeated Measures with Non-normal (Count) Data

1.5.6 Repeated Measures and Split Plots with Effects Modeled by Nonlinear Regression Model

1.6 A Typology for Mixed Models

1.7 Flowcharts to Select SAS Software to Run Various Mixed Models

 

1.1 Types of Models That Produce Data

Data sets presented in this book come from three types of sources: (1) designed experiments, (2) sample surveys, ...