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Product description

This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single event (survival analysis) to analysing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate methods are promoted with a focus on nonparametric methods.
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Details

Additional ISBN/GTIN9781461420354
Product TypeE-book
BindingE-book
FormatPDF
FormatReflowable
Publication townNY
Publication countryUnited States
Publishing date18/11/2011
Edition2012
SeriesUse R!
LanguageEnglish
File size2231215 Bytes
Illustrations49 s/w Abbildungen, XI, 245 p. 49 illus.
Article no.6934135
CatalogsVC
Data source no.905907
Product groupBU627
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Author

The authors are affiliated with the Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg and the Freiburg Center for Data Analysis and Modelling, University of Freiburg, Germany. Jan Beyersmann is Senior Statistician and serves on the editorial board of Statistics in Medicine. Arthur Allignol is Statistician and has contributed several R packages on competing risks and multistate models. Martin Schumacher is Professor of Biostatistics and Director of the Institute of Medical Biometry and Medical Informatics, Freiburg.  He has been involved in theoretical developments as well as in practical applications of survival analyses and their extensions over many years.

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