Analysis of Survival Data with Dependent Censoring

Copula-Based Approaches

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Science & Nature, Mathematics, Statistics
Cover of the book Analysis of Survival Data with Dependent Censoring by Takeshi Emura, Yi-Hau Chen, Springer Singapore
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Takeshi Emura, Yi-Hau Chen ISBN: 9789811071645
Publisher: Springer Singapore Publication: April 5, 2018
Imprint: Springer Language: English
Author: Takeshi Emura, Yi-Hau Chen
ISBN: 9789811071645
Publisher: Springer Singapore
Publication: April 5, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Singapore

Cover of the book Languages and Genes in Northwestern China and Adjacent Regions by Takeshi Emura, Yi-Hau Chen
Cover of the book Negotiating multiple identities by Takeshi Emura, Yi-Hau Chen
Cover of the book Risk Based Technologies by Takeshi Emura, Yi-Hau Chen
Cover of the book The Rotating Beam Problem in Helicopter Dynamics by Takeshi Emura, Yi-Hau Chen
Cover of the book The Development of Eco Cities in China by Takeshi Emura, Yi-Hau Chen
Cover of the book Early-stage Lung Cancer by Takeshi Emura, Yi-Hau Chen
Cover of the book International Handbook of Teacher Education by Takeshi Emura, Yi-Hau Chen
Cover of the book Mobile Internet Security by Takeshi Emura, Yi-Hau Chen
Cover of the book International Migration of China by Takeshi Emura, Yi-Hau Chen
Cover of the book A Post-Colonial Enquiry into Europe’s Debt and Migration Crisis by Takeshi Emura, Yi-Hau Chen
Cover of the book Container Port Production and Management by Takeshi Emura, Yi-Hau Chen
Cover of the book The Modernization of China’s State Governance by Takeshi Emura, Yi-Hau Chen
Cover of the book Culture, Music Education, and the Chinese Dream in Mainland China by Takeshi Emura, Yi-Hau Chen
Cover of the book Computational Intelligence, Communications, and Business Analytics by Takeshi Emura, Yi-Hau Chen
Cover of the book Understanding Attractive Work in a Globalized World by Takeshi Emura, Yi-Hau Chen
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy