Beyersmann J., Allignol A., Schumacher M. Competing Risks and Multistate Models with R

2011 | ISBN 978-1-4614-2034-7 | 245 pages
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.Data examples.
An informal introduction to hazard-based analyses.
Competing risks.- Multistate modelling of competing risks.
Nonparametric estimation.
Proportional hazards models.
Nonparametric hypothesis testing.
Further topics in competing risks.
Multistate models and their connection to competing risks.
Nonparametric estimation.
Proportional transition hazards models.
Time-dependent covariates and multistate models.
Further topics in multistate modeling.