Use R!

Competing Risks and Multistate Models with R

Authors: Beyersmann, Jan, Allignol, Arthur, Schumacher, Martin

  • 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
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eBook $54.99
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  • ISBN 978-1-4614-2035-4
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  • Download immediately after purchase
Softcover $69.99
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  • ISBN 978-1-4614-2034-7
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About this book

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.

About the authors

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.

Table of contents (12 chapters)

  • Data examples

    Beyersmann, Jan (et al.)

    Pages 3-7

  • An informal introduction to hazard-based analyses

    Beyersmann, Jan (et al.)

    Pages 9-38

  • Multistate modelling of competing risks

    Beyersmann, Jan (et al.)

    Pages 41-53

  • Nonparametric estimation

    Beyersmann, Jan (et al.)

    Pages 55-88

  • Proportional hazards models

    Beyersmann, Jan (et al.)

    Pages 89-153

Buy this book

eBook $54.99
price for USA
  • ISBN 978-1-4614-2035-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Softcover $69.99
price for USA
  • ISBN 978-1-4614-2034-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Competing Risks and Multistate Models with R
Authors
Series Title
Use R!
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4614-2035-4
DOI
10.1007/978-1-4614-2035-4
Softcover ISBN
978-1-4614-2034-7
Series ISSN
2197-5736
Edition Number
1
Number of Pages
XI, 245
Number of Illustrations and Tables
49 b/w illustrations
Topics