| Edition |
1st ed. |
| Description |
xviii, 345 p. : ill. |
| Series |
Statistics in practice
|
| Bibliography |
Includes bibliographical references and index. |
| Contents |
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. |
| Summary |
"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. |
| Reproduction |
Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. |
| Subject |
Statistics.
|
|
Multiple imputation (Statistics)
|
|
Medicine -- Research -- Statistical methods.
|
| Genre/Form |
Electronic books.
|
| Added Author |
Kenward, Michael G., 1956-
|
|
ProQuest (Firm)
|
| ISBN |
9780470740521 (hardback) |
|
9781119942276 (e-book) |
|
