Handbook of Missing Data Methodology

Discover the essential insights of "Handbook of Missing Data Methodology" by Geert Molenberghs, a comprehensive resource published in 2020. Spanning 598 pages, this handbook delves into the latest advancements in methodologies for addressing missing data in empirical research.

Molenberghs presents a detailed taxonomy of missing data mechanisms and their analytical implications, equipping researchers with the knowledge to effectively handle incomplete datasets. The book offers a variety of innovative strategies for estimating models when faced with absent information, making it an invaluable reference for statisticians and researchers across multiple disciplines.

Whether you are a practitioner seeking to enhance your analysis or a scholar aiming to deepen your understanding of missing data issues, this handbook serves as a vital guide to navigating the complexities of missing information in research.