9781493950188-1493950185-Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health)

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

ISBN-13: 9781493950188
ISBN-10: 1493950185
Edition: Softcover reprint of the original 3rd ed. 2012
Author: David G. Kleinbaum, Mitchel Klein
Publication date: 2016
Publisher: Springer
Format: Paperback 715 pages
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Book details

ISBN-13: 9781493950188
ISBN-10: 1493950185
Edition: Softcover reprint of the original 3rd ed. 2012
Author: David G. Kleinbaum, Mitchel Klein
Publication date: 2016
Publisher: Springer
Format: Paperback 715 pages

Summary

Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health) (ISBN-13: 9781493950188 and ISBN-10: 1493950185), written by authors David G. Kleinbaum, Mitchel Klein, was published by Springer in 2016. With an overall rating of 3.5 stars, it's a notable title among other Biology (Biological Sciences) books. You can easily purchase or rent Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health) (Paperback) from BooksRun, along with many other new and used Biology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $26.11.

Description

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.

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