Multiple imputation and its application [electronic resource] / James R. Carpenter and Michael G. Kenward.
Material type:
TextSeries: Statistics in practicePublication details: Chichester, West Sussex, U.K. : Wiley, 2013.Edition: First editionDescription: xviii, 345 pages illustrationsSubject(s): DDC classification: - 610.72/4 23
- QA276 CAR
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
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| Books | GHU Library | QA276 CAR (Browse shelf(Opens below)) | 1 | Available | ghu1570723095 |
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.
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