Description
Book Synopsis: 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 deliverts 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.
Details
Looking to analyze partially observed data? Look no further than Multiple Imputation and its Application. This bestselling guide, now in its most up-to-date edition, offers a comprehensive overview of one of the most effective and popular methodologies for dealing with incomplete data sets. Whether you're an applied researcher or a methods researcher, this book is a must-have resource for confidently using multiple imputation.
What sets Multiple Imputation and its Application apart is its accessibility and carefully structured presentation. Written by a team of distinguished statisticians, this book delivers key concepts in a clear and concise manner. With a plethora of examples and practical advice, you'll have the tools and confidence to apply multiple imputation in a multitude of settings. Plus, the book includes theoretical and computer-based exercises that have been tested in the classroom, making it an ideal resource for students or individuals on a self-study journey.
Are you an R or Stata user? Multiple Imputation and its Application has got you covered! The book offers specific guidance and examples for users of both software, ensuring that you have a seamless experience in applying multiple imputation to your data. No matter your proficiency level, you'll be able to follow along and fully grasp the mathematical details.
Don't miss out on this indispensable resource. Whether you're a graduate student, an applied researcher, or a methods researcher, Multiple Imputation and its Application will empower you to confidently tackle incomplete data sets. Start your journey towards mastering multiple imputation today!
Click here to get your copy of Multiple Imputation and its Application
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