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Handbook of Missing Data Methodology
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Table of Contents

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

About the Author

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

Reviews

"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

"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

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