Statistical Methods for Handling Incomplete Data is a comprehensive book that covers recent theoretical findings and advances in statistical computing for analyzing incomplete data. It provides a rigorous treatment of imputation techniques, explores the propensity score method, and covers advanced topics such as data integration and neura