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, , , and . BMC medical research methodology, (January 2006)4347<m:linebreak></m:linebreak>LR: 20071115; PUBM: Electronic; DEP: 20060901; JID: 100968545; PMC1570136; 2006/04/17 received; 2006/09/01 accepted; 2006/09/01 aheadofprint; epublish;<m:linebreak></m:linebreak>Publicació.
DOI: 10.1186/1471-2288-6-42

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Berücksichtigung prognostischer Faktoren bei der Planung von Therapiestudien., , , and . GMDS, page 475-480. MMV Medizin Verlag, (1994)Comment on "network-constrained regularization and variable selection for analysis of genomic data"., and . Bioinform., 24 (21): 2566-2568 (2008)Can matching improve the performance of boosting for identifying important genes in observational studies?, , , , and . Comput. Stat., 28 (1): 37-49 (2013)Conditional Survival: A Useful Concept to Provide Information on How Prognosis Evolves over Time., , , , and . Clinical cancer research : an official journal of the American Association for Cancer Research, 21 (7): 1530--1536 (Apr 1, 2015)Nambu's Nobel Prize, the \$\sigma\$ meson and the mass of visible matter. (Nov 5, 2014)Bootstrap and Cross-Validation to Assess Complexity of Data-Driven Regression Models., and . ISMDA, volume 1933 of Lecture Notes in Computer Science, page 234-241. Springer, (2000)Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models., and . BMC Bioinform., (2008)Parallelized prediction error estimation for evaluation of high-dimensional models., , and . Bioinform., 25 (6): 827-829 (2009)Sparse regression techniques in low-dimensional survival data settings., , and . Stat. Comput., 20 (2): 151-163 (2010)Evaluating the effect of optimized cutoff values in the assessment of prognostic factors, and . Computational Statistics & Data Analysis, 21 (3): 307--326 (March 1996)