.

0 (hodnocen0 x )

EB

ONLINE

1st ed.

Chichester, West Sussex, U.K. : Wiley, 2013

1 online resource (xviii, 345 p.) : ill

ISBN 9780470740521 (hardback)

ISBN 9781119942276 (e-book)

aStatistics in practice

Includes bibliographical references and index

Machine 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.

"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..

Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries

001754419

full

(Au-PeEL)EBL1118499

(CaPaEBR)ebr10662548

(MiAaPQ)EBC1118499

(OCoLC)801051995