"This is a very useful book for applied researchers, especially those working with complex survey samples with stratification, clustering, and weighting. It contains detailed examples and programming codes that can be easily followed and carried out by users of all levels. It has a good balance of statistical methods and practical application of multiple imputation. In most chapters, the authors start by explaining the basic concepts in complete data analysis, then extending the topics to amultiple imputation setting. Relevant data examples appear throughout the text. Additional readings are listed at the end of each chapter to helpmore advanced readers gain a better understanding of the methods and theories underlying the topics presented in the text." - Qixuan Chen, The American Statistician, October 2020
Trivellore Raghunathan is the director of the Survey Research Center in the Institute for Social Research and professor of biostatistics in the School of Public Health at the University of Michigan. He has published numerous papers in a range of statistical and public health journals. His research interests include applied regression analysis, linear models, design of experiments, sample survey methods, and Bayesian inference.
Patricia A. Berglund is a senior research associate in the Youth and Social Indicators Program and Survey Methodology Program in the Survey Research Center at the University of Michigan’s Institute for Social Research.