Analysis of Survival Data with Dependent Censoring Copula-Based Approaches /

• Main Authors: Emura, Takeshi (Author, http://id.loc.gov/vocabulary/relators/aut), Chen, Yi-Hau (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: JSS Research Series in Statistics,
• Subjects: Statistics .; Biostatistics.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistical Theory and Methods.; Statistics for Social Sciences, Humanities, Law.

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 t...

Table of Contents:

• Chapter 1: Setting the scene
• Chapter 2: Introduction to survival analysis
• Chapter 3: Copula models for dependent censoring
• Chapter 4: Gene selection under dependent censoring
• Chapter 5: The joint frailty-copula model for meta-analysis
• Chapter 6:High-dimensional covariates in the joint frailty-copula model
• Chapter 7:Dynamic prediction of time-to-death. Chapter 8: Future developments
• Appendix.