∗ Provides clear explanations of how to use SAS to analyse linear models
∗ Includes numerous SAS outputs
∗ Includes new chapter on generalised linear models
∗ Uses version 8 of the SAS system
This book assists data analysts who use SAS/STAT software to analyse data using regression analysis and analysis of variance. It assumes familiarity with basic SAS concepts such as creating SAS data sets with the DATA step and manipulating SAS data sets with the procedures in base SAS software.
Chapter 1. Introduction.
Chapter 2. Regression.
Chapter 3. Analysis of Variance for Balanced Data.
Chapter 4. Analyzing Data with Random Effects.
Chapter 5. Unbalanced Data Analysis: Basic Methods.
Chapter 6. Understanding Linear Models Concepts.
Chapter 7. Analysis of Covariance.
Chapter 8. Repeated–Measures Analysis.
Chapter 9. Multivariate Linear Models.
Chapter 10. Generalized Linear Models.
Chapter 11. Examples of Special Applications.