Multiple Imputation and its Application (Statistics in Practice), 2nd Edition

Free Download Multiple Imputation and Its Application
by Carpenter, James R.;Bartlett, Jonathan W.;Morris, Tim P.;Wood, Angela M.;Quartagno, Matteo;Kenward, Michael G.;
English | 2023 | ISBN: 1119756081 | 467 pages | True PDF | 9.32 MB
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, Multi

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