- Full Description
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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.
- Table of Contents
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Table of Contents
- 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.
- Errata
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If you think that you've found an error in this book, please let us know about it. You will find any confirmed erratum below, so you can check if your concern has already been addressed.
No errata are currently published
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