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dc.contributor.authorSerrat Piè, Carles
dc.contributor.authorRué, Montserrat
dc.contributor.authorPerpiñán Fabuel, Hèctor
dc.contributor.authorForte, Anabel
dc.contributor.authorArmero, Carmen
dc.contributor.authorPiulachs, Xavier
dc.contributor.authorPáez, Álvaro
dc.contributor.authorGómez Melis, Guadalupe
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2016-02-08T12:54:41Z
dc.date.available2016-02-08T12:54:41Z
dc.date.issued2015
dc.identifier.citationSerrat, C., Rué, M., Perpiñán, H., Forte, A., Armero, C., Piulachs, X., Páez, Á., Gomez, G. A shared-parameter joint model for prostate cancer risk and psa longitudinal profiles. A: International Conference on Risk Analysis. "Current topics on risk analysis: ICRA 6 and RISK 2015 conference". Barcelona: Fundación Mapfre, 2015, p. 711-719.
dc.identifier.isbn978-84-9844-496-4
dc.identifier.urihttp://hdl.handle.net/2117/82670
dc.description.abstractThe paper describes the use of frequentist and Bayesian shared-parameter joint models of longitudinal measurements of prostate specific antigen (PSA) and the risk of prostate cancer (PCa). The motivating dataset corresponds to the screening arm of the Spanish branch of the European Randomized Screening for Prostate Cancer (ERSPC) study. The results show that PSA is highly associated with the risk of being diagnosed with PCa and that there is an age-varying effect of PSA on PCa risk. Both the frequentist and Bayesian paradigms produced very close parameter estimates and subsequent 95% confidence and credibility intervals. Dynamic estimations of disease-free probabilities obtained using Bayesian inference highlight the potential of joint models to guide personalized risk-based screening strategies.
dc.format.extent9 p.
dc.language.isoeng
dc.publisherFundación Mapfre
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada::Estadística biosanitària
dc.subject.lcshBayesian statistical decision theory
dc.titleA shared-parameter joint model for prostate cancer risk and psa longitudinal profiles
dc.typeConference report
dc.subject.lemacEstadística bayesiana
dc.contributor.groupUniversitat Politècnica de Catalunya. GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica
dc.identifier.dlM-17626-2015
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.mapfre.com/documentacion/publico/i18n/catalogo_imagenes/grupo.cmd?path=1083273
dc.rights.accessOpen Access
local.identifier.drac16678816
dc.description.versionPostprint (published version)
local.citation.authorSerrat, C.; Rué, M.; Perpiñán, H.; Forte, A.; Armero, C.; Piulachs, X.; Páez, Á.; Gomez, G.
local.citation.contributorInternational Conference on Risk Analysis
local.citation.pubplaceBarcelona
local.citation.publicationNameCurrent topics on risk analysis: ICRA 6 and RISK 2015 conference
local.citation.startingPage711
local.citation.endingPage719


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