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

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 Models

Chapter 8: Recurrent events

Chapter 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.

The original six chapters have been modified slightly

to expand and clarify 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

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 author of ActivEpi (2002), an interactive computer-based instructional text on fundamentals of epidemiology, which has been used in a variety of educational environments including distance learning.

Mitchel Klein is Research Assistant Professor with a joint appointment in the Department of Environmental and Occupational Health (EOH) and the Department of Epidemiology, also at the Rollins School of Public Health at Emory University. Dr. Klein is also co-author with Dr. Kleinbaum of the second edition of Logistic Regression- A Self-Learning Text (2002). He has regularly taught epidemiologic methods courses at Emory to graduate students in public health and in clinical medicine. He is responsible for the epidemiologic methods training of physicians enrolled in Emory?s Master of Science in Clinical Research Program, and has collaborated with Dr. Kleinbaum both nationally and internationally in teaching several short courses on various topics in epidemiologic methods.

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Survival Analysis (Books)

Biostatistics Medicine - This greatly expanded second edition of Survival Analysis- A Self-learning Text provides a...

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Survival Analysis: A Self-Learning...

Pages: 590, Edition: 2nd, Hardcover, Springer

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ProductReviews86/100 (10 Reviews)

Recent Reviews

5/5
From: Amazon
Posted: Aug-30-2009
The best for beginners

Survival analysis is a key topic in medical research and practice. This book allowed me to understand better its purpose, methodology and techniques and improved my critical view of published reports. It also allowed me to tackle more...

read full review | report as inappropriate
5/5
From: Amazon
Posted: Oct-17-2008
Excellent, excellent resource!

Like other reviewers, I've scoured the bookstores looking for a good resource to provide a practical approach to conducting a survival analysis, and this book--hands down--is the best resource I have found yet. It is written in a very...

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5/5
From: Amazon
Posted: Jul-15-2008
Great introduction book

I am statistics major and I use this book to self-taught. This book clears the basic concepts. It is very easy to read and follow. If you are like me, I guess this the book that you need.

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2/5
From: Amazon
Posted: Dec-20-2007
Poorly Written, Poorly Conceived

This book struck almost every single one of my biggest peeves about texts. Numbers written out as words: this is, essentially, a mathematics book. We don't like letters, we like numbers, and writing out "thirteen point five" is only...

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Selected Reviews

5/5
From: Amazon
Posted: Aug-30-2009
The best for beginners

Survival analysis is a key topic in medical research and practice. This book allowed me to understand better its purpose, methodology and techniques and improved my critical view of published reports. It also allowed me to tackle more...

read full review | report as inappropriate
2/5
From: Amazon
Posted: Dec-20-2007
Poorly Written, Poorly Conceived

This book struck almost every single one of my biggest peeves about texts. Numbers written out as words: this is, essentially, a mathematics book. We don't like letters, we like numbers, and writing out "thirteen point five" is only...

read full review | report as inappropriate
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