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

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, this new edition offers additional exercises, making it a good candidate for adoption as a textbook.” (Technometrics, August, 2012)

"This text is ... an elementary introduction to survival analysis. It is primarily intended for self-study, but it has also proven useful as a basic text in a standard classroom course ... . Each chapter starts with an Introduction, an Abbreviated outline, and Objectives, and ends with self tests, exercises and a detailed outline. Solutions to tests and exercises are also provided." (Göran Broström, Zentralblatt MATH, Vol. 1093 (19), 2006)

"The most meaningful accolade that I can give to this text is that it admirably lives up to its title." Journal of the American Statistical Association, September 2006

"Imagine---a statistics textbook that actually explains things in English instead of explaining a topic by bombarding the reader with page-width equations requiring an advanced degree in Math just to read the book. If it weren't for this book, I would be really stuck." (David Britz)

An excellent introduction for all those coming to the subject for the first time.

New material has been added to the second edition and the original six chapters have been modified.

The previous edition sold 9500 copies world wide since its release in 1996.

Based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind.

Provides a "user-friendly" layout and includes numerous illustrations and exercises.

Written in such a way so as to enable readers learn directly without the assistance of a classroom instructor.

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.