This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-bas

Making complex methods more accessible to applied researchers without an advanced mathematical background, the authors present the essence of new techniques ava

Survival analysis is a highly active area of research with applications spanning the physical, engineering, biological, and social sciences. In addition to stat

A straightforward and easy-to-follow introduction to the main concepts and techniques of the subject. It is based on numerous courses given by the author to stu

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the