Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health) [Hardcover]
Author: David G. Kleinbaum | Language: English | ISBN: 1441966455 | Format: PDF, EPUB
Direct download links available Survival Analysis: A Self-Learning Text, Third Edition from mediafire, rapishare, and mirror link
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.
- Series: Statistics for Biology and Health
- Hardcover: 716 pages
- Publisher: Springer; 3rd ed. 2012 edition (October 20, 2011)
- Language: English
- ISBN-10: 1441966455
- ISBN-13: 978-1441966452
- Product Dimensions: 10.2 x 7.3 x 1.9 inches
- Shipping Weight: 3.3 pounds (View shipping rates and policies)
- Amazon Best Sellers Rank: #176,051 in Books (See Top 100 in Books)
- #43 in Books > Textbooks > Medicine & Health Sciences > Research > Biostatistics
- #67 in Books > Medical Books > Basic Sciences > Biostatistics
- #97 in Books > Textbooks > Medicine & Health Sciences > Research > Epidemiology
A good book that guide you by the hand inside the world of survival analysis. If you are a beginner, you may need a simpler book to start, but once you have the concepts, you can even enjoy this book!!By Ana
I used this book along with an online course on the same topic by Statistics.com. The book is extremely user friendly, my background being that of a physician with knowledge of basic stats and regression analysis, not a background of mathematics or advanced statistics. Plus having worked out examples in the text using codes covering most of the commonly used stats program made it appropriate for a hands-on learning format that I prefer. Thus, it makes one confident to apply the techniques in future projects involving survival analysis.By Deepak Parakkal
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