dc.creatorRODRIGUES, Josemar
dc.creatorCASTRO, Mario de
dc.creatorBALAKRISHNAN, N.
dc.creatorCANCHO, Vicente G.
dc.date.accessioned2012-10-20T03:34:33Z
dc.date.accessioned2018-07-04T15:38:27Z
dc.date.available2012-10-20T03:34:33Z
dc.date.available2018-07-04T15:38:27Z
dc.date.created2012-10-20T03:34:33Z
dc.date.issued2011
dc.identifierLIFETIME DATA ANALYSIS, v.17, n.3, p.333-346, 2011
dc.identifier1380-7870
dc.identifierhttp://producao.usp.br/handle/BDPI/28885
dc.identifier10.1007/s10985-010-9189-2
dc.identifierhttp://dx.doi.org/10.1007/s10985-010-9189-2
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1625527
dc.description.abstractIn this paper, we develop a flexible cure rate survival model by assuming the number of competing causes of the event of interest to follow a compound weighted Poisson distribution. This model is more flexible in terms of dispersion than the promotion time cure model. Moreover, it gives an interesting and realistic interpretation of the biological mechanism of the occurrence of event of interest as it includes a destructive process of the initial risk factors in a competitive scenario. In other words, what is recorded is only from the undamaged portion of the original number of risk factors.
dc.languageeng
dc.publisherSPRINGER
dc.relationLifetime Data Analysis
dc.rightsCopyright SPRINGER
dc.rightsclosedAccess
dc.subjectCompeting risks
dc.subjectCure rate models
dc.subjectLong-term survival models
dc.subjectWeighted Poisson distribution
dc.subjectConway-Maxwell Poisson (COM-Poisson) distribution
dc.titleDestructive weighted Poisson cure rate models
dc.typeArtículos de revistas


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