欠測値を持つデータに対処するために生まれた多重代入法。その理論と応用実践法を紹介するベストセラーガイドの10年ぶりの改訂新版。各章にキー概念についての考察と、RやStataのユーザー向けの多重代入法の実践問題を付す。In this comprehensively revised Second Edition of Multiple Imputation and its Application, a team of distinguished statisticians delivers an overview of the issues raised by missing data, the rationale for multiple imputation as a solution, and the practicalities of applying it in a multitude of settings. With an accessible and carefully structured presentation aimed at quantitative researchers, the book is illustrated with a range of examples and offers key mathematical details. It includes a wide range of theoretical and computer-based exercises, tested in the classroom, which are especially useful for users of R or Stata.