Competing Risks and Multistate Models with R

• Main Authors: Beyersmann, Jan (Author), Allignol, Arthur (Author), Schumacher, Martin (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2012.
• Series: Use R!
• Subjects: Statistics.; Statistical Theory and Methods.

Competing Risks and Multistate Models with R covers models that generalize the analysis of time to a single event (survival analysis) to analyzing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate methods are promoted...

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.