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Performance of logistic regression modeling : beyond the number of events per variable, the role of data structure

ContributorsCourvoisier, Delphineorcid; Combescure, Christopheorcid; Agoritsas, Thomasorcid; Gayet-Ageron, Angèleorcid; Perneger, Thomas
Published inJournal of clinical epidemiology, vol. 64, no. 12, p. 1463-1464
Publication date2011-12
Abstract

Reply to : Steyerberg EW, Schemper M, Harrell FE. Logistic regression modeling and the number of events per variable: selection bias dominates. J Clin Epidemiol. 2011 Dec;64(12):1464-5; author reply 1463-4. doi: 10.1016/j.jclinepi.2011.06.016. PMID: 22032755. which is a comment on : Courvoisier DS, Combescure C, Agoritsas T, Gayet-Ageron A, Perneger TV. Performance of logistic regression modeling: beyond the number of events per variable, the role of data structure. J Clin Epidemiol. 2011 Sep;64(9):993-1000. doi: 10.1016/j.jclinepi.2010.11.012. Epub 2011 Mar 16. PMID: 21411281. https://archive-ouverte.unige.ch/unige:25409

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COURVOISIER, Delphine et al. Performance of logistic regression modeling : beyond the number of events per variable, the role of data structure. In: Journal of clinical epidemiology, 2011, vol. 64, n° 12, p. 1463–1464. doi: 10.1016/j.jclinepi.2011.06.013
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Additional URL for this publicationhttps://www.sciencedirect.com/science/article/pii/S0895435611002162
Journal ISSN0895-4356
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