This book provides an up-to-date review of the existing methods to deal with randomly truncated data, with focus on the difficult problem of random double truncation. Doubly truncated data is introduced in a comprehensive way and explores the latest developments in this field. Illustrative examples with R code are provided along with real data examples from astronomy, economy, and biomedical sciences to supplement the methods featured throughout the book.