Joint modelling analysis of prostate cancer incidence: frequentist and bayesian approaches

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/22507

dc.contributor	Universitat Politècnica de Catalunya. Departament de Matemàtica Aplicada I
dc.contributor	Universitat Politècnica de Catalunya. GREMA - Grup de Recerca en Estadística Matemàtica i les seves Aplicacions
dc.contributor.author	Piulachs, Xavier
dc.contributor.author	Serrat Piè, Carles
dc.contributor.author	Rué, Montserrat
dc.contributor.author	Armero, Carmen
dc.contributor.author	Forte, Anabel
dc.contributor.author	Perpiñán, Héctor
dc.contributor.author	Luján, Marcos
dc.contributor.author	Páez, Álvaro
dc.date	2013
dc.identifier.citation	Piulachs, X. [et al.]. Joint modelling analysis of prostate cancer incidence: frequentist and bayesian approaches. A: Conferencia Española de Biometría. "XIV Conferencia Española de Biometría, Ciudad Real 22-24 Mayo 2013". Ciudad Real: 2013, p. 222-225.
dc.identifier.uri	http://hdl.handle.net/2117/22507
dc.language.iso	eng
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada::Estadística biosanitària
dc.subject	Survival analysis (Biometry)
dc.subject	Longitudinal method
dc.subject	Joint Modelling
dc.subject	Longitudinal data
dc.subject	Survival Analysis
dc.subject	Anàlisi de supervivència (Biometria)
dc.subject	Mètode longitudinal
dc.title	Joint modelling analysis of prostate cancer incidence: frequentist and bayesian approaches
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Prostate specific antigen (PSA) is a biomarker for prostate cancer (PCa) that is widely used for PCa screening. Using a database of 2415 men included in the Spanish screening arm of the ERSPC Study, we will use joint modelling strategies to analyze if longitudinal PSA profiles and time to PCa incidence allow to obtain a better estimate of the individual risk of PCa. Conclusions and limitations of the study will be discussed.
dc.description.abstract	Peer Reviewed

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