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CRC Press Multivariate Survival Analysis and Competing Risks - CRC Press

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Description

Multivariate Survival Analysis and Competing Risks from Chapman and Hall/CRC extends classical survival analysis into multivariate frameworks, addressing a significant gap in statistical literature. This comprehensive text introduces univariate survival analysis before progressing to multivariate methods, competing risks, and counting processes. The book combines theoretical foundations with practical applications, featuring real-world examples, worked exercises, and R code throughout. Coverage includes survival distributions, frailty models, parametric and semi-parametric methods, multivariate data structures, copulas, and continuous failure analysis. Designed for graduate-level study, this text serves researchers and statisticians working with complex survival data where multiple events or dependencies require sophisticated analytical approaches beyond standard univariate techniques.

Key Features

Covers both univariate and multivariate survival analysis with detailed treatment of competing risks frameworks.

Includes practical R code and real-world examples demonstrating survival analysis applications in research settings.

Explores advanced topics such as frailty models, copulas, and parametric likelihood inference for complex data structures.

Presents non-parametric and semi-parametric methods alongside parametric approaches for flexible statistical modelling.

Published by Chapman and Hall/CRC as part of the Texts in Statistical Science series for academic rigour.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 April 2012
Listed Since
28 February 2011

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