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Analysis of Survival Data with Dependent Censoring - Copula-Based Approaches (Paperback, 1st ed. 2018) Loot Price: R1,623
Discovery Miles 16 230
Analysis of Survival Data with Dependent Censoring - Copula-Based Approaches (Paperback, 1st ed. 2018): Takeshi Emura, Yi-Hau...

Analysis of Survival Data with Dependent Censoring - Copula-Based Approaches (Paperback, 1st ed. 2018)

Takeshi Emura, Yi-Hau Chen

Series: JSS Research Series in Statistics

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Loot Price R1,623 Discovery Miles 16 230 | Repayment Terms: R152 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: JSS Research Series in Statistics
Release date: April 2018
First published: 2018
Authors: Takeshi Emura • Yi-Hau Chen
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 84
Edition: 1st ed. 2018
ISBN-13: 978-981-10-7163-8
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Social sciences > Sociology, social studies > Social research & statistics > General
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
LSN: 981-10-7163-2
Barcode: 9789811071638

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