Product Review

Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values. The authors, renowned gurus on the subject, provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism and apply the theory to a wide range of important missing data problems.