SAS for Linear Models, Fourth Edition

Chapter 5 Unbalanced Data Analysis: Basic Methods

5.1 Introduction

5.2 Applied Concepts of Analyzing Unbalanced Data

5.2.1 ANOVA for Unbalanced Data

5.2.2 Using the CONTRAST and ESTIMATE Statements with Unbalanced Data

5.2.3 The LSMEANS Statement

5.2.4 More on Comparing Means: Other Hypotheses and Types of Sums of Squares

5.3 Issues Associated with Empty Cells

5.3.1 The Effect of Empty Cells on Types of Sums of Squares

5.3.2 The Effect of Empty Cells on CONTRAST, ESTIMATE, and LSMEANS Results

5.4 Some Problems with Unbalanced Mixed-Model Data

5.5 Using the GLM Procedure to Analyze Unbalanced Mixed-Model Data

5.5.1 Approximate F-Statistics from ANOVA Mean Squares with Unbalanced Mixed-Model Data

5.5.2 Using the CONTRAST, ESTIMATE, and LSMEANS ...