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
Published with bookdown

Chapter 11 Longitudinal data

Failure of an imputation model does not damage the integrity of the entire dataset, but only the portion that is imputed.

— Joseph L. Schafer