Statistical Analysis with Missing Data

Discover the essential methods for tackling one of the most common challenges in data analysis with Statistical Analysis with Missing Data by Roderick J. A. Little. Published by John Wiley & Sons Inc in 2019, this third edition expands on a comprehensive survey of contemporary techniques for addressing missing data issues. Spanning 462 pages, the book not only revisits historical approaches but also introduces innovative and straightforward methods for conducting multivariate analysis in the presence of missing values. Ideal for statisticians and researchers alike, this authoritative guide equips you with the tools to enhance your data analysis, ensuring you can derive meaningful insights despite the challenges of incomplete data. Elevate your statistical skills and improve your research outcomes with this indispensable resource.