Competing Risks and Multistate Models with R. By J. Beyersmann, M. Schumacher A. Allignol. New York, NY: Springer. 2012. 245 pages. €49.95 (hardback). ISBN 978-1-4614-2034-7.
DOI10.1111/ANZS.12010zbMath1334.00049OpenAlexW1997252148MaRDI QIDQ2802828
Publication date: 27 April 2016
Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/anzs.12010
Software, source code, etc. for problems pertaining to statistics (62-04) Applications of statistics to biology and medical sciences; meta analysis (62P10) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) External book reviews (00A17)
Uses Software
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- A class of k-sample tests for comparing the cumulative incidence of a competing risk
- Inference for Events With Dependent Risks in Multiple Endpoint Studies
- A Proportional Hazards Model for the Subdistribution of a Competing Risk
- A Proportional Hazards Model Taking Account of Long-Term Survivors
- Estimation in a Cox Proportional Hazards Cure Model
- On the Use of Cause-Specific Failure and Conditional Failure Probabilities: Examples From Clinical Oncology Data
- A mixture model combining logistic regression with proportional hazards regression
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