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An evaluation of penalised survival methods for developing prognostic models with rare events

Ambler, G; Seaman, S; Omar, RZ; (2012) An evaluation of penalised survival methods for developing prognostic models with rare events. STATISTICS IN MEDICINE , 31 (11-12) pp. 1150-1161. 10.1002/sim.4371.

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Type: Article
Title: An evaluation of penalised survival methods for developing prognostic models with rare events
DOI: 10.1002/sim.4371
Keywords: Science & Technology, Life Sciences & Biomedicine, Physical Sciences, Mathematical & Computational Biology, Public, Environmental & Occupational Health, Medical Informatics, Medicine, Research & Experimental, Statistics & Probability, Research & Experimental Medicine, Mathematics, MATHEMATICAL & COMPUTATIONAL BIOLOGY, MEDICAL INFORMATICS, MEDICINE, RESEARCH & EXPERIMENTAL, PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH, SCI, STATISTICS & PROBABILITY, garotte, lasso, penalised regression, prognostic models, ridge, risk prediction, shrinkage, survival analysis, variable selection, LOGISTIC-REGRESSION ANALYSIS, PROPORTIONAL HAZARDS MODEL, VARIABLE SELECTION, COX REGRESSION, MICROARRAY DATA, LASSO, VALIDATION, LIKELIHOOD, SHRINKAGE
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Maths and Physical Sciences
URI: http://discovery.ucl.ac.uk/id/eprint/1330418
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