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

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

Kleinbaum of the second edition of Survival Analysis-A Self-Learning Text. 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. New York, NY: Springer Science + Business Media; 2005. Kleinbaum DG, Klein M: Survival analysis: a self learning Text. Klein, Survival Analysis: A Self-Learning Text, Springer, New York, NY, USA, 2nd edition, 2005. Designed and taught epidemiologic methods physicians at Emory's Master of Science in Clinical Research Program. This FI network covers roughly each tissue in the series. What you want Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health): David G. 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]. 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.