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  • Multiple Imputation and Its Application by James R. Carpenter book cover
  • Multiple Imputation and Its Application by James R. Carpenter book cover
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Multiple Imputation and Its Application

by James R. Carpenter

A practical and theoretical guide to multiple imputation

$79.74 USD
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AlbakiReads Editorial

A practical and theoretical guide to multiple imputation

The second edition examines how researchers can analyze data sets with missing observations using multiple imputation. It connects the problem of incomplete data with the method’s rationale and practical application across different settings, pairing conceptual discussion with mathematical detail. Examples show how the ideas are used, while theoretical and computer-based exercises support classroom work or independent study, including for users of R or Stata. The book bridges methodological overview and hands-on application, with material directed toward both applied analysis and deeper study of the approach.

Good fit for readers who enjoy

  • Applied researchers working with incomplete data
  • Methods researchers seeking an overview of multiple imputation
  • Graduate students undertaking quantitative analyses, including R or Stata users

Themes

Missing dataMultiple imputationBiostatisticsQuantitative research methods

Based on publisher information and book metadata.

Book overview

Multiple Imputation and its Application

The most up-to-date edition of a bestselling guide to analyzing 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.

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