Flexible Imputation of Missing Data
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Foreword
Preface to second edition
Preface to first edition
About the author
Symbol Description
I Part I: Basics
1 Introduction
2 Multiple imputation
3 Univariate missing data
4 Multivariate missing data
5 Analysis of imputed data
II Part II: Advanced techniques
6 Imputation in practice
7 Multilevel multiple imputation
8 Individual causal effects
III Part III: Case studies
9 Measurement issues
10 Selection issues
11 Longitudinal data
IV Part IV: Extensions
12 Conclusion
Appendix
A Technical information
References
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Chapter 1 Introduction

We should be suspicious of any dataset (large or small) which appears perfect.

— David J. Hand