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Competing Risks and Multistate Models with R

Jan Beyersmann; Arthur Allignol; Martin Schumacher

978-1-4614-2035-4

2012
Edition 1
- This book enables the reader to analyse complex time-to-event data himself, using the free open source language R for statistical computing
- The data situations considered are competing risks--several, mutually exclusive event types and multistate models, that track an individuals history through different stages over time. These methods are a generalization of the now classical survivalanalysis--the analysis of time to one single event. Such data occur in a variety of fields, including life sciences, social sciences, economics and engineering
- The methods are explained on a non-technical level and instantly carried out in R. This book covers data structures, simulating data, analyses of real life data and plotting
- Includes supplementary material: sn.pub/extras
€200

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