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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Yes, you can access Multiple Imputation and its Application by James R. Carpenter,Jonathan W. Bartlett,Tim P. Morris,Angela M. Wood,Matteo Quartagno,Michael G. Kenward in PDF and/or ePUB format, as well as other popular books in Medicine & Biostatistics. We have over one million books available in our catalogue for you to explore.