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Analysis of breast cancer survival in local health authorities

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dc.contributor.author Lynch, Joseph
dc.contributor.author MacKenzie, Gilbert
dc.date.accessioned 2013-01-07T16:21:58Z
dc.date.available 2013-01-07T16:21:58Z
dc.date.issued 2007
dc.identifier.uri http://hdl.handle.net/10344/2788
dc.description peer-reviewed en_US
dc.description.abstract Kaplan-Meier analysis of a large breast cancer dataset is carried out under all-cause and cause-specific survival. The results are compared with a variety of model-based analyses, including Cox's Proportional Hazard (PH) model and its Gamma frailty variant, along with the non-PH Generalised Time- Dependent Logistic Model (GTDL) and its Gamma frailty variant. en_US
dc.language.iso eng en_US
dc.publisher IWSM en_US
dc.relation.ispartofseries Proceedings of the 22nd International Workshop on Statistical Modelling;
dc.relation.uri http://www.statmod.org/workshops.htm
dc.subject Kaplan-Meier en_US
dc.subject cause-specific en_US
dc.subject all-cause en_US
dc.subject PH/non-PH en_US
dc.title Analysis of breast cancer survival in local health authorities en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 1399828


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