Multivariate Survival Analysis and Competing Risks

Multivariate Survival Analysis and Competing Risks

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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.Now the data must beloaded into R: in the R-window type dmx=read.table(a#39; catheter1.data#39;, header=T); attach(dmx); dmx ... (In a moment of weakness I did once look it up in the manual, which has a whole chapter on lists and data frames , but tooanbsp;...


Title:Multivariate Survival Analysis and Competing Risks
Author: Martin J. Crowder
Publisher:CRC Press - 2012-04-17
ISBN-13:

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