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

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

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