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

Survival Analysis: A Self-Learning Text – Data files here. Survival analysis: a self-learning text. Survival of breast cancer patients. Survival Analysis – See Klein's page for data sets and errors. Survival analysis: A self-learning text (2nd ed.). This FI network covers roughly each tissue in the series. Applied longitudinal data analysis: Modeling change and event occurrence New York, USA: Oxford University Press. 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. Marrazzoa A, Taormina P, David M, Riili I, Cas� L, Catalano F, et al. 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].