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Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health)

<p>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. </p><p>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 to include the software package R.</p> <p>David Kleinbaum is Professor of Epidemiology at the Rollins School of Public Health at Emory University, Atlanta, Georgia. Dr. Kleinbaum is internationally known for innovative textbooks and teaching on epidemiological

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<p>An excellent introduction for all those coming to the subject for the first time.</p><p>New material has been added to the second edition and the original six chapters have been modified.</p><p>The previous edition sold 9500 copies world wide since its release in 1996.</p><p>Based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind. </p><p>Provides a "user-friendly" layout and includes numerous illustrations and exercises. </p><p>Written in such a way so as to enable readers learn directly without the assistance of a classroom instructor. </p><p>Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough analyses of real data sets. </p>

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