[PDF.54ue] Multivariate Survival Analysis and Competing Risks (Chapman & Hall/CRC Texts in Statistical Science)
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Multivariate Survival Analysis and Competing Risks (Chapman & Hall/CRC Texts in Statistical Science)
[PDF.cm11] Multivariate Survival Analysis and Competing Risks (Chapman & Hall/CRC Texts in Statistical Science)
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| #205329 in Books | Chapman and Hall/CRC | 2012-04-17 | Original language:English | PDF # 1 | 9.21 x.94 x6.14l,1.55 | File type: PDF | 418 pages | ||2 of 3 people found the following review helpful.| Very helpful|By Dr. Lee D. Carlson|Survival theory and the theory of competing risks have been around for quite some time now, due to intense interest from the insurance industry and the medical field. The reviewer has found application of the theory of competing risks to financial modeling in the form of mortgage analytics, and in the modeling of information networks with part
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-p...
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