Gelman (statistics, Columbia University) and Meng (statistics, Harvard University) collect articles from leading researchers on statistical methods relating to missing data analysis, causal inference, and statistical modeling. Articles provide an overview of several important statistical topics for both research and applications, and describes a range of intermediate and advanced statistical techniques. Applications discussed range from the social and health sciences to the biological and physical sciences. The book is dedicated to Donald Rubin, in recognition of his contributions to statistics, particularly to the topic of statistical analysis with missing data.