Survival Analysis: A Self-Learning Text

This greatly expanded second edition of Survival Analysis- A Self-learning Text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data. This text is suitable for researchers and statisticians working in the medical and other life sciences as well as statisticians in academia who teach introductory and second-level courses on survival analysis. The second edition continues to use the unique lecture-book format of the first (1996) edition with the addition of three new chapters on advanced topics: Chapter 7: Parametric ModelsChapter 8: Recurrent eventsChapter 9: Competing Risks. Also, the Computer Appendix has been revised to provide step-by-step instructions for using the computer packages STATA (Version 7.0), SAS (Version 8.2), and SPSS (version 11.5) to carry out the procedures presented in the main text. aspects of survival analysis in response to suggestions by students, colleagues and reviewers, and to add theoretical background, particularly regarding the formulation of the (partial) likelihood functions for proportional hazards, stratified, and extended Cox regression models

• Author
• David G. Kleinbaum, Mitchel Klein

• Format
• hardcover

• Pages
• 590

• Publisher
• Springer

• Language
• english

• ISBN
• 9780387239187

• Genres
• textbooks

• Release date
• 2005