Multivariate Survival research and Competing Risks introduces univariate survival research and extends it to the multivariate case. It covers competing dangers and counting techniques and offers many real-world examples, workouts, and R code. The textual content discusses survival information, survival distributions, frailty versions, parametric tools, multivariate facts 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 ebook contains functional routines and R code for the examples. the writer is popular for his transparent writing sort, and this publication maintains that pattern. it really is an outstanding reference for graduate scholars and researchers trying to find grounding during this burgeoning box of research.
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