000			02240nam a2200433 a 4500
001			EBC1118499
003			GHU
005			20260524090956.0
006			m o d |
007			cr cn|||||||||
008			120716s2013 enkad sb 001 0 eng d
010			_z 2012028821
020			_z9780470740521 (hardback)
020			_z9781119942276 (e-book)
035			_a(MiAaPQ)EBC1118499
035			_a(Au-PeEL)EBL1118499
035			_a(CaPaEBR)ebr10662548
035			_a(OCoLC)801051995
040			_aMiAaPQ _cGHULIB _dGHULIB _beng _erda
050		4	_aQA276 CAR
082	0	4	_a610.72/4 _223
100	1		_aCarpenter, James R.
245	1	0	_aMultiple imputation and its application _h[electronic resource] / _cJames R. Carpenter and Michael G. Kenward.
250			_aFirst edition
260			_aChichester, West Sussex, U.K. : _bWiley, _c2013.
300			_axviii, 345 pages _billustrations
440		0	_aStatistics in practice.
504			_aIncludes bibliographical references and index.
505	8		_aMachine generated contents note: Reasons for missing data Summary -- The Multiple Imputation Procedure and Its Justification -- Multiple imputation of binary and ordinal data -- Imputation of unordered categorical data -- Non-linear relationships -- Interactions -- Survival data, skips and large datasets -- Multilevel multiple imputation -- Sensitivity analysis: MI unleashed -- Including survey weights -- Robust Multiple Imputation.
520			_a"This book is written with three main aims; to provide a thorough introduction to the general MI methods, to provide a detailed discussion of the practical use of the MI method and to present real-world examples drawn from the field of biostatistics"--Provided by publisher.
533			_aElectronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650		0	_aStatistics.
650		0	_aMultiple imputation (Statistics)
650		0	_aMedicine _xResearch _xStatistical methods.
700	1		_aKenward, Michael G., _d1956-
710	2		_aProQuest (Firm)
856	4	0	_uhttps://ebookcentral.proquest.com/lib/gmul-ebooks/detail.action?docID=1118499 _zClick to View
942			_2lcc _cBOOK _n0
999			_c16 _d16