Survival Analysis: A Self-Learning Text by David G. Kleinbaum, Mitchel Klein

Survival Analysis: A Self-Learning Text



Download Survival Analysis: A Self-Learning Text




Survival Analysis: A Self-Learning Text David G. Kleinbaum, Mitchel Klein ebook
Publisher: Springer
ISBN: 0387239189, 9780387239187
Format: pdf
Page: 596


Kleinbaum DG, Klein M: Survival analysis: a self learning Text. New York, NY: Springer Science + Business Media; 2005. An excellent introduction for all those coming to the subject for the primary time. We then apply this expression matrix for the superpc analysis [23] to search for linear combinations of network modules that are significantly correlated with patient survival or other clinically relevant criteria. Kleinbaum's Survival Analysis: A Self-Learning Text is an excellent nontechnical introduction to survival analysis. This FI network covers roughly each tissue in the series. Kleinbaum of the second edition of Survival Analysis-A Self-Learning Text. Designed and taught epidemiologic methods physicians at Emory's Master of Science in Clinical Research Program. Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health) by David G. Survival Analysis: A Self-Learning Text (Statistics for Biology and Health). York Press 2008-10-04 17:19 Lecture Notes in Survival Analysis (collection) by: Various Authors 2008-09-04 20:51 Survival Analysis: A Self-Learning Text (Statistics for Biology and Health) 2005-08 by: David G. Survival analysis: a self-learning text By David G. Loading Saturday, May 21, 2011. Kleinbaum (Author), Mitchel Klein (Author). Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health). Our method for discovering prognostic signatures builds on top of a human protein functional interaction (FI) network constructed by combining curated and uncurated data sources using a machine learning technique [24]. Cancer: Survival Analysis: A Self-Learning Text (Statistics for Biology and Health).