| Analysis of Survival Data with Dependent Censoring: Copula-Based Approaches 2018 Edition Contributor(s): Emura, Takeshi (Author), Chen, Yi-Hau (Author) |
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ISBN: 9811071632 ISBN-13: 9789811071638 Publisher: Springer OUR PRICE: $61.74 Product Type: Paperback - Other Formats Published: April 2018 |
| Additional Information |
| BISAC Categories: - Medical | Biostatistics - Mathematics | Probability & Statistics - General - Science | Life Sciences - General |
| Dewey: 519.5 |
| Series: Springerbriefs in Statistics |
| Physical Information: 0.21" H x 6.14" W x 9.21" (0.33 lbs) 84 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |