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dc.contributor.authorFlores, Claudio
dc.contributor.authorRodríguez-Girondo, Mar
dc.contributor.authorCadarso Suárez, Carmen
dc.contributor.authorKneib, Thomas
dc.contributor.authorGómez Melis, Guadalupe
dc.contributor.authorCasanova, Lluis
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2013-01-11T08:27:53Z
dc.date.available2013-01-11T08:27:53Z
dc.date.created2012-06
dc.date.issued2012-06
dc.identifier.citationFlores, C. [et al.]. Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru. "SORT: statistics and operations research transactions", Juny 2012, vol. 36, núm. 2, p. 221-230.
dc.identifier.issn1696-2281
dc.identifier.urihttp://hdl.handle.net/2117/17270
dc.description.abstractKnowledge of prognostic factors is an important task for the clinical management of Non Hodgkin Lymphoma (NHL). In this work, we study the variables affecting survival of NHL in Peru by means of geoadditive Cox-type structured hazard regression models while accounting for potential spatial correlations in the survival times. We identified eight covariates with significant effect for overall survival. Some of them are widely known such as age, performance status, clinical stage and lactic dehydrogenase, but we also identified hemoglobin, leukocytes and lymphocytes as covariates with a significant effect on the overall survival of patients with NHL. Besides, the effect of continuous covariates is clearly nonlinear and hence impossible to detect with the classical Cox method. Although the spatial component does not show a significant effect, the results show a trend of low risk in certain areas.
dc.format.extent10 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística
dc.titleFlexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru
dc.typeArticle
dc.subject.lemacEstadística aplicada -- Medicina
dc.contributor.groupUniversitat Politècnica de Catalunya. GREMA - Grup de Recerca en Estadística Matemàtica i les seves Aplicacions
dc.rights.accessOpen Access
drac.iddocument11163358
dc.description.versionPostprint (published version)
upcommons.citation.authorFlores, C.; Rodríguez-Girondo, M.; Cadarso, C.; Kneib, T.; Gomez, G.; Casanova, L.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameSORT: statistics and operations research transactions
upcommons.citation.volume36
upcommons.citation.number2
upcommons.citation.startingPage221
upcommons.citation.endingPage230


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