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 also presents current research and new, practically relevant Developments in the field, and demonstrates the use of rec.
It discusses the pros and cons of various techniques and concepts, including Multiple imputation quality diagnostics, an important topic for practitioners.
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