Applied Multiple Imputation

Description: Applied Multiple Imputation Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Advantages, Pitfalls, New Developments and Applications in R Author(s): Kristian Kleinke, Jost Reinecke, Daniel Salfran, Martin Spiess Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030381639, 978-3030381639 Synopsis This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses the pros and cons of various techniques and concepts, including multiple imputation quality diagnostics, an important topic for practitioners. It also presents current research and new, practically relevant developments in the field, and demonstrates the use of recent multiple imputation techniques designed for situations where distributional assumptions of the classical multiple imputation solutions are violated. In addition, the book features numerous practical tutorials for widely used R software packages to generate multiple imputations (norm, pan and mice). The provided R code and data sets allow readers to reproduce all the examples and enhance their understanding of the procedures. This book is intended for social and health scientists and other quantitative researchers who analyze incompletely observed data sets, as well as master's and PhD students with a sound basic knowledge of statistics.

Price: 70.11 GBP

Location: Aldershot

End Time: 2024-11-12T09:36:41.000Z

Shipping Cost: 37.44 GBP