Modeling Survival Data: Extending the Cox Model
Modeling Survival Data: Extending the Cox Model by Terry M. Therneau, published by Springer New York in December 2010, is a comprehensive resource designed for researchers, practitioners, and graduate students familiar with traditional survival analysis methods. This edition spans 350 pages and focuses on semiparametric techniques rooted in the proportional hazards model, providing a detailed exploration of these methodologies.
Readers will find practical examples throughout the book, including SAS and S-PLUS code, which enhance accessibility for working statisticians. The content covers essential topics in mathematics, probability and statistics, and biostatistics, making it a valuable reference for those interested in stochastic processes and their applications in medical research.
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Extending the Cox Model is aimed at researchers, practitioners, and graduate students who have some exposure to traditional methods of survival analysis. The emphasis is on semiparametric methods based on the proportional hazards model. The inclusion of examples with SAS and S-PLUS code will make the book accessible to most working statisticians.
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