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

Survival Analysis: A Self-Learning Text


Survival.Analysis.A.Self.Learning.Text.pdf
ISBN: 0387239189,9780387239187 | 596 pages | 15 Mb




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




Kleinbaum DG, Klein M: 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. This FI network covers roughly each tissue in the series. Survival Analysis: A Self-Learning Text book download. New material has been added to the second edition and. New York, NY: Springer Science + Business Media; 2005. Download Survival Analysis: A Self-Learning Text by; David G. Kleinbaum DG, Klein M: Survival analysis: a self-learning text. Product DescriptionAn excellent introduction for all those coming to the subject for the first time. Tuesday, 16 April 2013 at 14:29. A prospective cohort study of 99 patients with 217 admissions with AECOPD. Survival Analysis: A Self-Learning Text / Edition 2. Aly C: Filtration rates of mosquito larvae in suspensions of latex microspheres and yeast cells. He has also taught over 150 short courses over the past 30 years throughout the world. His popular text "Survival Analysis - A Self Learning Text" is the text for this course. 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].

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