Multivariate Survival Analysis and Competing Risks (Hardcover)

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.

General

Imprint:	Taylor & Francis
Country of origin:	United States
Series:	Chapman & Hall/CRC Texts in Statistical Science
Release date:	April 2012
First published:	2012
Authors:	Martin J. Crowder
Dimensions:	234 x 156 x 27mm (L x W x T)
Format:	Hardcover
Pages:	418
ISBN-13:	978-1-4398-7521-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Biology, life sciences > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	1-4398-7521-9
Barcode:	9781439875216

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