This greatly expanded third 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 third edition continues to use the unique "lecture-book" format of the first two editions with one new chapter, additional sections and clarifications to several chapters, and a revised computer appendix. The Computer Appendix, with step-by-step instructions for using the computer packages STATA, SAS, and SPSS, is expanded this third edition to include the software package R.
| ISBN: | 9781493950188 |
| Publication date: | 23rd August 2016 |
| Author: | David G Kleinbaum, Mitchel Klein |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 700 pages |
| Series: | Statistics for Biology and Health |
| Genres: |
Probability and statistics Epidemiology and Medical statistics |