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Flexible imputation of missing data / by Stef van Buuren
(Chapman & Hall/CRC interdisciplinary statistics)

Publisher	Boca Raton, FL : Chapman and Hall/CRC, an imprint of Taylor and Francis
Year	[2018]
Edition	Second edition.
Authors	*van Buuren, Stef author Taylor and Francis

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Links to the text	Location	Volume	Call No.	Barcode No.	Status	Comments	ISBN	Printed	Restriction	Reserve
Links to the text	Library Off-campus access			OB00064008		Taylor & Francis eBooks (電子ブック)	9780429492259

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Material Type	E-Book
Media type	機械可読データファイル
Size	1 online resource (444 pages) : 187 illustrations
Notes	chapter I Basics -- chapter II Advanced techniques -- chapter III Case studies -- chapter IV Extensions Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Multiple imputation replaces each missing value by multiple plausible values. The variability between these replacements reflects our ignorance of the true (but missing) value. Each of the completed data set is then analyzed by standard methods, and the results are pooled to obtain unbiased estimates with correct confidence intervals. Multiple imputation is a general approach that also inspires novel solutions to old problems by reformulating the task at hand as a missing-data problem.This is the second edition of a popular book on multiple imputation, focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author. This new edition incorporates the recent developments in this fast-moving field.This class-tested book avoids mathematical and technical details as much as possible: formulas are accompanied by verbal statements that explain the formula in accessible terms. The book sharpens the reader's intuition on how to think about missing data, and provides all the tools needed to execute a well-grounded quantitative analysis in the presence of missing data HTTP:URL=https://www.taylorfrancis.com/books/9780429492259 Pub. note=Click here to view.
Subjects	LCSH:Missing observations (Statistics) LCSH:Multiple imputation (Statistics) LCSH:Multivariate analysis
Classification	LCC:QA278 DC23:519.5/35
ID	8000060338
ISBN	9780429492259