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.
Author(s): David G. Kleinbaum, Mitchel Klein (auth.)
Series: Statistics for Biology and Health
Edition: 3
Publisher: Springer-Verlag New York
Year: 2012
Language: English
Pages: 700
Tags: Statistics for Life Sciences, Medicine, Health Sciences; Epidemiology
Front Matter....Pages i-xv
Introduction to Survival Analysis....Pages 1-54
Kaplan-Meier Survival Curves and the Log-Rank Test....Pages 55-96
The Cox Proportional Hazards Model and Its Characteristics....Pages 97-159
Evaluating the Proportional Hazards Assumption....Pages 161-200
The Stratified Cox Procedure....Pages 201-240
Extension of the Cox Proportional Hazards Model for Time-Dependent Variables....Pages 241-288
Parametric Survival Models....Pages 289-361
Recurrent Event Survival Analysis....Pages 363-423
Competing Risks Survival Analysis....Pages 425-495
Design Issues for Randomized Trials....Pages 497-524
Back Matter....Pages 525-700
