Analysis of Survival Data with Dependent Censoring: Copula-Based Approaches (SpringerBriefs in Statistics) (JSS Research Series in Statistics)

by Takeshi Emura and Yi-Hau Chen

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Book cover for Analysis of Survival Data with Dependent Censoring

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This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models, it is the first book solely devoted to the problem of dependent censoring.

The book demonstrates the advantages of the copula-based methods in the context of medical research, especially with regard to cancer patients’ survival data. Needless to say, the statistical methods presented here can also be applied to many other branches of science, especially in reliability, where survival analysis plays an important role.

The book can be used as a textbook for graduate coursework or a short course aimed at (bio-) statisticians. To deepen readers’ understanding of copula-based approaches, the book provides an accessible introduction to basic survival analysis and explains the mathematical foundations of copula-based survival models.

  • ISBN13 9789811071638
  • Publish Date 13 April 2018
  • Publish Status Active
  • Publish Country SG
  • Imprint Springer Verlag, Singapore
  • Edition 1st ed. 2018
  • Format Paperback
  • Pages 84
  • Language English