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008			120720s2012 flua sb 001 0 eng d
020			_a9781439868256 (ebook : PDF)
040			_aBD-DhSAU _cBD-DhSAU
090			_aQA278 _b.B88 2012
092			_a519.535 _bB989
100	1		_aBuuren, Stef van.
245	1	0	_aFlexible imputation of missing data _h[electronic resource] / _cStef van Buuren.
260			_aBoca Raton, Fla. : _bCRC Press, _cc2012.
300			_axxv, 316 p. : _bill.
490	1		_aChapman & Hall/CRC interdisciplinary statistics series
500			_a"A Chapman & Hall book."
504			_aIncludes bibliographical references (p. 269-297) and indexes.
505	0		_a1. Basics -- 2. Case studies -- 3. Extensions.
520			_a"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"-- _cProvided by publisher.
530			_aAlso available in print edition.
538			_aMode of access: World Wide Web.
650		0	_aMultivariate analysis.
650		0	_aMultiple imputation (Statistics)
650		0	_aMissing observations (Statistics)
655		7	_aElectronic books. _2lcsh
776	1		_z9781439868249 (hardback)
830		0	_aInterdisciplinary statistics.
856	4	0	_uhttp://marc.crcnetbase.com/isbn/9781439868256 _qapplication/PDF
999			_c11816 _d11815