Classical Competing Risks

Classical Competing Risks
Author: Martin J. Crowder
Publisher: CRC Press
Total Pages: 201
Release: 2001-05-11
Genre: Mathematics
ISBN: 1420035908

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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 always, more than one possible cause. In one sense, then, survival analysis is a lost cause. The methods of Competing Risks have often been neglected in the survival analysis literature.


Classical Competing Risks
Language: en
Pages: 201
Authors: Martin J. Crowder
Categories: Mathematics
Type: BOOK - Published: 2001-05-11 - Publisher: CRC Press

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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
Competing Risks
Language: en
Pages: 240
Authors: Melania Pintilie
Categories: Medical
Type: BOOK - Published: 2006-11-02 - Publisher: John Wiley & Sons

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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
Competing Risks and Multistate Models with R
Language: en
Pages: 249
Authors: Jan Beyersmann
Categories: Mathematics
Type: BOOK - Published: 2011-11-18 - Publisher: Springer Science & Business Media

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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
Data Analysis with Competing Risks and Intermediate States
Language: en
Pages: 278
Authors: Ronald B. Geskus
Categories: Mathematics
Type: BOOK - Published: 2015-07-14 - Publisher: CRC Press

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Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing risks and intermedia
Advanced Survival Models
Language: en
Pages: 361
Authors: Catherine Legrand
Categories: Mathematics
Type: BOOK - Published: 2021-03-22 - Publisher: CRC Press

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Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range of applications, and in particular in m