Introduction -- Multiple imputation -- Univariate missing data -- Multivariate missing data -- Analysis of imputed data -- Imputation in practice -- Multilevel

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach

This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples of density and hazard rate est

Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, w

Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developme