1. Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values.
- Author
-
Prentice, Ross L.
- Subjects
- *
FAILURE time data analysis , *PROPORTIONAL hazards models , *ESTIMATION theory , *ASYMPTOTIC distribution , *MARKOV processes , *GENERALIZED estimating equations , *SURVIVAL analysis (Biometry) - Abstract
The article is a book review of "Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values" by Per Kragh Andersen and Henrik Ravn. The book focuses on modeling and analyzing multistate processes, where individuals may experience multiple outcomes or failures during a defined study period. It covers various modeling choices, estimation procedures, and parameter interpretation using small biomedical datasets. The authors present the models in a non-technical manner with practical applications, followed by a more rigorous description for those interested in technical material. The book provides an accessible summary of a research area that has been active for the past 50 years and complements other books on the market. [Extracted from the article]
- Published
- 2024
- Full Text
- View/download PDF