Multiple Imputation of Missing Data Using SAS

Chapter 1: Introduction to Missing Data and Methods for Analyzing Data with Missing Values

1.1 Introduction

1.2 Sources and Patterns of Item Missing Data

1.3 Item Missing Data Mechanisms

1.4 Review of Strategies to Address Item Missing Data

1.4.1 Complete Case Analysis

1.4.2 Complete Case Analysis with Weighting Adjustments

1.4.3 Full Information Maximum Likelihood

1.4.4 Expectation-Maximization Algorithm.

1.4.5 Single Imputation of Missing Values

1.4.6 Multiple Imputation

1.5 Outline of Book Chapters

1.6 Overview of Analysis Examples

1.1 Introduction

Over the past half-century, statistical analysts have employed a wide range of techniques to address the theoretical and practical question of “what do I do about missing values?” These techniques ...