This is the second edition of a popular book on multiple imputation, focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author. This new edition incorporates the recent developments in this fast-moving field.
Inhaltsverzeichnis
1. Introduction 2. Multiple imputation 3. Univariate missing data 4. Multivariate missing data 5. Analysis of imputed data 6. Imputation in practice 7. Multilevel multiple imputation 8. Individual Causal Effects 9. Measurement issues 10. Selection issues 11. Longitudinal data 12. Conclusion