Competing Risks
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Competing Risks and Multistate Models with R
Author | : Jan Beyersmann |
Publisher | : Springer Science & Business Media |
Total Pages | : 249 |
Release | : 2011-11-18 |
Genre | : Mathematics |
ISBN | : 1461420350 |
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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.
Competing Risks and Multistate Models with R Related Books
Language: en
Pages: 249
Pages: 249
Type: BOOK - Published: 2011-11-18 - Publisher: Springer Science & Business Media
This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single
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Pages: 278
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If something can fail, it can often fail in one of several ways and sometimes in more than one way at a time. There is always some cause of failure, and almost
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Type: BOOK - Published: 2012-04-17 - Publisher: CRC Press
Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks an
Language: en
Pages: 240
Pages: 240
Type: BOOK - Published: 2006-11-02 - Publisher: John Wiley & Sons
The need to understand, interpret and analyse competing risk data is key to many areas of science, particularly medical research. There is a real need for a boo