Multivariate Survival Analysis and Competing Risks

Martin J. Crowder

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English

CRC Press
16 November 2016

Probability & statistics; Biology, life sciences; Mathematical & statistical software

Series: Chapman & Hall/CRC Texts in Statistical Science

Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods.

There are many books covering survival analysis, but very few that cover the multivariate case in any depth. Written for a graduate-level audience in statistics/biostatistics, this book includes practical exercises and R code for the examples. The author is renowned for his clear writing style, and this book continues that trend. It is an excellent reference for graduate students and researchers looking for grounding in this burgeoning field of research.

By: Martin J. Crowder
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 566g
ISBN: 9781138199606
ISBN 10: 1138199605
Series: Chapman & Hall/CRC Texts in Statistical Science
Pages: 418
Publication Date: 16 November 2016
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Paperback
Publisher's Status: Active

Univariate Survival Analysis: Survival Data. Survival Distributions. Frailty Models. Parametric Methods. Discrete Time: Non- And Semi-Parametric Methods. Continuous-Time: Non- And Semi-Parametric Methods. Multivariate Survival Analysis: Multivariate Data and Distributions. Frailty and Copulas. Repeated Measure. Wear and Degradation. Competing Risks: Continuous Failure Times And Their Causes. Parametric Likelihood Inference. Latent Failure Times: Probability Distributions. Discrete Failure Times in Competing Risks. Hazard-Based Methods for Continuous Failure Times. Latent Failure Times: Identifiability Crises. Counting Processes in Survival Analysis: Some Basic Concepts. Survival Analysis. Non- And Semi-Parametric Methods.

Martin J. Crowder

Reviews for Multivariate Survival Analysis and Competing Risks

... the book is interesting to read, [and] the author's writing style is both entertaining and to the point ... -ISCB News, December 2015 ... a nice addition to the previous edition is the inclusion of R code and datasets, which are available online. ... this book is a useful addition to the literature, which undergraduate as well as graduate students in statistics will appreciate. -Australian & New Zealand Journal of Statistics, 56(4), 2014 Crowder is known for his clear expositions and chatty style, and this book does not disappoint. It is a pleasant read. The introduction to R will be useful, as will the exercises at the end of each chapter. ... With its exercises and easy style, this book is very suitable as an upper-level text. It is easy to jump into later chapters without much back pedaling and this makes it a useful reference work. -Roger M. Cooke, Journal of the American Statistical Association, September 2014, Vol. 109