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

Product DescriptionAn excellent introduction for all those coming to the subject for the first time. 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. New material has been added to the second edition and. This greatly expanded third edition of Survival Analysis- A Self-learning Text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data. 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]. Kleinbaum) - kúpte si ju pohodlne a za skvelú cenu hneď teraz na Martinus.sk. Survival Analysis: A Self-Learning Text (Statistics for Biology and Health). Kleinbaum, Mitchel Klein, "Survival Analysis: A Self-Learning Text, 2nd edition" Sp,..er | 2005 | ISBN: 0387239189 | 590 pages | PDF | 3 MB An excellent introduction fo. Kniha Survival Analysis: A Self-Learning Text (David G. 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. Marrazzoa A, Taormina P, David M, Riili I, Cas� L, Catalano F, et al. Survival of breast cancer patients. 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. Survival analysis: a self-learning text.