Handbook of Missing Data Methodology

Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke

"There is evidence of a strong editorial hand—each chapter begins with a table of contents; the notation is surprisingly well standardized for a work by 20 authors; and the number of typos is modest. The chapters refer to each other, but one can read them independently and in any order...This handbook summarizes the authors’ research on a range of missing-data problems of contemporary interest. Methodologists who seek a one-volume entry point into the field will find it useful."—Journal of the American Statistical Association, May 2016

• Preliminaries. Likelihood and Bayesian Methods, Semiparametric Methods. Multiple Imputation. Sensitivity Analysis. Special Topics. Index.