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Applied Multiple Imputation

Language EnglishEnglish
Book Paperback
Book Applied Multiple Imputation Martin Spiess
Libristo code: 35402702
Publishers Springer Nature Switzerland AG, March 2021
This book explores missing data techniques and provides a detailed and easy-to-read introduction to... Full description
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This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses the pros and cons of various techniques and concepts, including multiple imputation quality diagnostics, an important topic for practitioners. It also presents current research and new, practically relevant developments in the field, and demonstrates the use of recent multiple imputation techniques designed for situations where distributional assumptions of the classical multiple imputation solutions are violated. In addition, the book features numerous practical tutorials for widely used R software packages to generate multiple imputations (norm, pan and mice). The provided R code and data sets allow readers to reproduce all the examples and enhance their understanding of the procedures. This book is intended for social and health scientists and other quantitative researchers who analyze incompletely observed data sets, as well as master's and PhD students with a sound basic knowledge of statistics. 

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About the book

Full name Applied Multiple Imputation
Language English
Binding Book - Paperback
Date of issue 2021
Number of pages 292
EAN 9783030381660
ISBN 3030381668
Libristo code 35402702
Weight 468
Dimensions 155 x 235 x 17
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