Modeling survival in colon cancer: a methodological review

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dc.contributor.authorAhmed, Farid E.en_US
dc.contributor.authorVos, Paul W.en_US
dc.contributor.authorHolbert, Donalden_US
dc.date.accessioned2011-02-04T19:55:59Zen_US
dc.date.accessioned2011-05-17T13:42:22Z
dc.date.available2011-02-04T19:55:59Zen_US
dc.date.available2011-05-17T13:42:22Z
dc.date.issued2007-02-12en_US
dc.description.abstractThe Cox proportional hazards model is the most widely used model for survival analysis because of its simplicity. The fundamental assumption in this model is the proportionality of the hazard function. When this condition is not met, other modifications or other models must be used for analysis of survival data. We illustrate in this review several methodological approaches to deal with the violation of the proportionality assumption, using survival in colon cancer as an illustrative example. Originally published Molecular Cancer, Vol. 6, No. 15, Feb 2007en_US
dc.identifier.citationMolecular Cancer; 6:15 p. 1-12en_US
dc.identifier.doi10.1186/1476-4598-6-15
dc.identifier.pmidPMC1810545en_US
dc.identifier.urihttp://hdl.handle.net/10342/3202en_US
dc.language.isoen_USen_US
dc.publisherEast Carolina Universityen_US
dc.relation.urihttp://www.molecular-cancer.com/content/6/1/15en_US
dc.rightsAuthor notified of opt-out rights by Cammie Jenningsen_US
dc.subjectSurvival modelsen_US
dc.subjectColon (Anatomy)--Canceren_US
dc.subjectCox proportional hazards modelen_US
dc.titleModeling survival in colon cancer: a methodological reviewen_US
dc.typeArticleen_US

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