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Flexible Imputation of Missing Data

"Preface We are surrounded by missing data. Problems created by missing data in statistical analysis have long been swept under the carpet. These times are now slowly coming to an end. The array of techniques to deal with missing data has expanded considerably during the last decennia. This book is about one such method: multiple imputation. Multiple imputation is one of the great ideas in statistical science. The technique is simple, elegant and powerful. It is simple because it flls the holes in the data with plausible values. It is elegant because the uncertainty about the unknown data is coded in the data itself. And it is powerful because it can solve 'other' problems that are actually missing data problems in disguise. Over the last 20 years, I have applied multiple imputation in a wide variety of projects. I believe the time is ripe for multiple imputation to enter mainstream statistics. Computers and software are now potent enough to do the required calculations with little e ort. What is still missing is a book that explains the basic ideas, and that shows how these ideas can be put to practice. My hope is that this book can ll this gap. The text assumes familiarity with basic statistical concepts and multivariate methods. The book is intended for two audiences: - (bio)statisticians, epidemiologists and methodologists in the social and health sciences; - substantive researchers who do not call themselves statisticians, but who possess the necessary skills to understand the principles and to follow the recipes. In writing this text, I have tried to avoid mathematical and technical details as far as possible. Formula's are accompanied by a verbal statement that explains the formula in layman terms"--
Zitat
It's excellent and I highly recommend it. ... van Buuren's book is great even if you don't end up using the algorithm described in the book ... he supplies lots of intuition, examples, and graphs. -Andrew Gelman, Columbia University ... a beautiful book that is so full of guidance for statisticians ... exceptionally up to date and has more useful wisdom about dealing with common missing data problems than any other source I've seen. -Frank Harrell, Vanderbilt University I'm delighted to see this new book on multiple imputation by Stef van Buuren ...This book represents a "no nonsense" straightforward approach to the application of multiple imputation. I particularly like Stef's use of graphical displays ... It's great to have Stef's book on multiple imputation, and I look forward to seeing more editions as this rapidly developing methodology continues to become even more effective at handling missing data problems in practice. -From the Foreword by Donald B. Rubin
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Einband gebundene Ausgabe
Seitenzahl 342
Erscheinungsdatum 29.03.2012
Sprache Englisch
ISBN 978-1-4398-6824-9
Reihe Chapman & Hall/CRC Interdisciplinary Statistics
Verlag Taylor & Francis
Maße (L/B/H) 160/231/23 mm
Gewicht 668
Abbildungen 58 black & white illustrations, 26 black & white tables
Buch (gebundene Ausgabe, Englisch)
99,99
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