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Analysis of Survival Data With Dependent Censoring: Copula-Based Approaches (Springerbriefs in Statistics)
Takeshi Emura; Yi-Hau Chen (Author)
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Springer
· Paperback
Analysis of Survival Data With Dependent Censoring: Copula-Based Approaches (Springerbriefs in Statistics) - Takeshi Emura; Yi-Hau Chen
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Synopsis "Analysis of Survival Data With Dependent Censoring: Copula-Based Approaches (Springerbriefs in Statistics)"
This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring and correlated endpoints, and especially demonstrates these methods? advantages in the context of medical research.This unique book is primarily devoted to survival data arising from meta-analysis or involving high-dimensional genetic factors, which are not covered in the standard textbooks on survival analysis. Further topics include statistical methods for jointly performing the Cox regression analyses on two correlated survival times under competing or semi-competing risks.Examining key aspects of clinical survival data, such as time-to-tumor progression and overall survival collected on cancer patients, the book furnishes medical researchers with more practically applicable statistical tools than traditional textbooks.To deepen readers? understanding of copula-based approaches, the book also provides an accessible introduction to basic survival analysis and offers the mathematical foundations of copula-based survival models.Lastly, to help them apply the methods to their own data, the book describes the analyses using our original R software package, which is freely available in CRAN.
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The book is written in English.
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The binding of this edition is Paperback.
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