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【2011年第三版】Survival Analysis: A Self-Learning Text. Springer出版   [推广有奖]

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leonkd 在职认证  发表于 2012-9-12 06:35:40 |AI写论文

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Survival Analysis A Self-Learning Text Third.jpg

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

David G. Kleinbaum  Mitchel Klein

Publication Date: August 31, 2011 | ISBN-10: 1441966455 | ISBN-13: 978-1441966452 | Edition: 3rded. 2011

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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关键词:Springer Learning Survival Analysis earning 出版 论坛

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本帖被以下文库推荐

沙发
lk1966mail(真实交易用户) 发表于 2012-9-12 06:48:58
谢谢楼主

藤椅
0jzhang(真实交易用户) 发表于 2012-9-12 07:09:49
take a look

板凳
ahl021(真实交易用户) 发表于 2012-9-12 07:38:06
kan kan

报纸
priss111(真实交易用户) 发表于 2012-9-12 07:41:38
有哪些更新比第2版.

地板
mazhanshu(真实交易用户) 在职认证  发表于 2012-9-12 07:52:27
see see

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dream_xin(真实交易用户) 发表于 2012-9-12 07:54:33
Thanks for sharing.

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fengyg(真实交易用户) 企业认证  发表于 2012-9-12 07:56:55
kankan

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99rabbit(真实交易用户) 发表于 2012-9-12 07:57:04
很好,谢谢

10
tmdxyz(真实交易用户) 发表于 2012-9-12 08:44:18
h 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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