Multiple Imputation and its Application

Name: Multiple Imputation and its Application
Brand: Unknown
SKU: 9781119756088
Price: 154.99 NZD
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By Angela M. Wood and Matteo Quartagno and Michael G. Kenward and James R. Carpenter and Jonathan W. Bartlett and Tim P. Morris

Series: Statistics in Practice

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Summary

Multiple Imputation and its Application delves into advanced statistical techniques for addressing missing data in research. The authors explore foundational theories and practical strategies, presenting methods to implement multiple imputation across various complex datasets. With clear case studies and examples, this book serves as a comprehensive guide for professionals and researchers in the scientific domain.
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Format: Hardback

$154⁹⁹

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Multiple Imputation and its Application

$154⁹⁹

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?

You might enjoy this book if you are interested in advanced statistical methods, specifically in addressing missing data issues in scientific research. It offers practical guidance and real-world applications, making it an essential resource for statisticians and data scientists looking to enhance their data analysis techniques.

Multiple Imputation and its Application

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

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Multiple Imputation and its Application

By Angela M. Wood and Matteo Quartagno and Michael G. Kenward and James R. Carpenter and Jonathan W. Bartlett and Tim P. Morris

Hardback

$154⁹⁹

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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

Collections

Angela M. Wood Education & Reference James R. Carpenter Jonathan W. Bartlett Matteo Quartagno Michael G. Kenward Non-Fiction Science & Nature Series: Statistics in Practice Tim P. Morris

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.