Multivariate Survival research and Competing Risks introduces univariate survival research and extends it to the multivariate case. It covers competing hazards and counting approaches and gives many real-world examples, routines, and R code. The textual content discusses survival information, survival distributions, frailty versions, parametric tools, multivariate information and distributions, copulas, non-stop failure, parametric chance inference, and non- and semi-parametric methods.

There are many books overlaying survival research, yet only a few that hide the multivariate case in any intensity. Written for a graduate-level viewers in statistics/biostatistics, this e-book comprises useful workouts and R code for the examples. the writer is well known for his transparent writing sort, and this e-book maintains that development. it truly is an exceptional reference for graduate scholars and researchers trying to find grounding during this burgeoning box of research.

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