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Multiple Imputation and its Application
Series: Statistics in Practice
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Multiple Imputation and its Application
$15499
Unit price
/
Unavailable
Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
feedback is welcome!
Description
Multiple Imputation and its Application
The most up-to-date edition of a bestselling guide to analysing partially observed data
In this comprehensively revised Second Edition of Multiple Imputation and its Application, a team of distinguished statisticians delivers an overview of the issues raised by missing data, the rationale for multiple imputation as a solution, and the practicalities of applying it in a multitude of settings.
With an accessible and carefully structured presentation aimed at quantitative researchers, Multiple Imputation and its Application is illustrated with a range of examples and offers key mathematical details. The book includes a wide range of theoretical and computer-based exercises, tested in the classroom, which are especially useful for users of R or Stata. Readers will find:
- A comprehensive overview of one of the most effective and popular methodologies for dealing with incomplete data sets
- Careful discussion of key concepts
- A range of examples illustrating the key ideas
- Practical advice on using multiple imputation
- Exercises and examples designed for use in the classroom and/or private study
Written for applied researchers looking to use multiple imputation with confidence, and for methods researchers seeking an accessible overview of the topic, Multiple Imputation and its Application will also earn a place in the libraries of graduate students undertaking quantitative analyses.
Series: Statistics in Practice
View all-
Multiple Imputation and its Application
Multiple Imputation and its Application The most up-to-date edition of a bestselling guide to analysing partially observed data In this comprehensively revised Second Edition of Multiple Imputation and its Application, a team of distinguished statisticians delivers an overview of the issues raised by missing data, the rationale for multiple imputation as a solution, and the practicalities of applying it in...Hardback$15499Unit price /UnavailableAvailableShips in 3-4 weeks -
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Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Multiple Imputation and its Application is highly regarded in the field of statistical science, particularly for those interested in dealing with missing data. Critics praise its comprehensive coverage of the subject, balancing theoretical insights with practical applications. It is considered an invaluable resource for both practitioners and researchers, thanks to its clear explanations and the breadth of topics covered.
Book Details
INFORMATION
ISBN: 9781119756088
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 21 August 2023
Country: United States
Imprint: John Wiley & Sons Inc
Edition: 2nd edition
Audience: Professional and scholarly
DIMENSIONS
Spine width: 31.0mm
Width: 170.0mm
Height: 244.0mm
Weight: 794g
Pages: 464
About the Author
JAMES R. CARPENTER is Professor of Medical Statistics at the London School of Hygiene & Tropical Medicine and Programme Leader in Methodology at the MRC Clinical Trials Unit at UCL, UK.
JONATHAN W. BARTLETT is a Professor of Medical Statistics at the London School of Hygiene & Tropical Medicine, UK.
TIM P. MORRIS is Principal Research Fellow in Medical Statistics at the MRC Clinical Trials Unit at UCL, UK.
ANGELA M. WOOD is Professor of Health Data Science in the Department of Public Health and Primary Care, University of Cambridge, UK.
MATTEO QUARTAGNO is Senior Research Fellow in Medical Statistics at the MRC Clinical Trials Unit at UCL, UK.
MICHAEL G. KENWARD retired in 2016 after sixteen years as GlaxoSmithKline Professor of Biostatistics at the London School of Hygiene & Tropical Medicine, UK.
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