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Survival Analysis
Kleinbaum, David G.; Klein, Mitchell (Emory University, Atlanta, Ga, Usa)
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Description for Survival Analysis
This very popular textbook, now in its third edition, offers an accessible description of fundamental and more advanced concepts and methods of logistic regression. This edition includes three new chapters and an expanded section about modeling guidelines. Series: Statistics for Biology and Health. Num Pages: 715 pages, 500 black & white illustrations, 100 black & white tables, biography. BIC Classification: MBNS; PBT. Category: (P) Professional & Vocational. Dimension: 263 x 186 x 43. Weight in Grams: 1474.
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 ... Read more
Show LessProduct Details
Number of pages
700
Publisher
Springer-Verlag New York Inc. United States
Format
Hardback
Publication date
2011
Series
Statistics for Biology and Health
Condition
New
Weight
1516g
Number of Pages
700
Place of Publication
New York, NY, United States
ISBN
9781441966452
SKU
V9781441966452
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Kleinbaum, David G.; Klein, Mitchell (Emory University, Atlanta, Ga, Usa)
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 methods, multiple linear regression, logistic regression, and survival analysis. He has provided extensive worldwide short-course training in over 150 short courses on statistical and epidemiological methods. He is also the ... Read more
Reviews for Survival Analysis
From the book reviews: “The authors present fundamental and basic ideas and methods of analysis of survival/event-history data from both applications and methodological points of view. … This book is clearly written and well structured for a graduate course as well as for practitioners and consulting statisticians. … There are many good examples in this edition, and more importantly, ... Read more