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
ISBN: 0387239189, 9780387239187
Publisher: Springer
Format: pdf
Page: 596


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]. Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health). Marrazzoa A, Taormina P, David M, Riili I, Cas� L, Catalano F, et al. Kleinbaum) - kúpte si ju pohodlne a za skvelú cenu hneď teraz na Martinus.sk. This FI network covers roughly each tissue in the series. Survival analysis: a self-learning text. His popular text "Survival Analysis - A Self Learning Text" is the text for this course. Kniha Survival Analysis: A Self-Learning Text (David G. Kleinbaum's Survival Analysis: A Self-Learning Text is an excellent nontechnical introduction to survival analysis. Designed and taught epidemiologic methods physicians at Emory's Master of Science in Clinical Research Program. Survival Analysis: A Self-Learning Text (Statistics for Biology and Health) An excellent introduction for all those coming to the subject for the first time. 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. He has also taught over 150 short courses over the past 30 years throughout the world. 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. An excellent introduction for all those coming to the subject for the first time. 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. Survival of breast cancer patients. Kleinbaum of the second edition of Survival Analysis-A Self-Learning Text.

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