Ir al contenido (pulsa Retorno)

Universitat Politècnica de Catalunya

    • Català
    • Castellano
    • English
    • LoginRegisterLog in (no UPC users)
  • mailContact Us
  • world English 
    • Català
    • Castellano
    • English
  • userLogin   
      LoginRegisterLog in (no UPC users)

UPCommons. Global access to UPC knowledge

Banner header
61.703 UPC E-Prints
You are here:
View Item 
  •   DSpace Home
  • E-prints
  • Grups de recerca
  • GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica
  • Articles de revista
  • View Item
  •   DSpace Home
  • E-prints
  • Grups de recerca
  • GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica
  • Articles de revista
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data

Thumbnail
View/Open
Serrat-etal-final.pdf (531,3Kb)
 
10.1080/02664763.2014.999032
 
  View Usage Statistics
  LA Referencia / Recolecta stats
Cita com:
hdl:2117/85035

Show full item record
Serrat Piè, CarlesMés informacióMés informacióMés informació
Rué, Montserrat
Armero, Carmen
Piulachs Lozada Benavente, XavierMés informacióMés informació
Perpiñán Fabuel, Hèctor
Forte, Anabel
Páez, Álvaro
Gómez Melis, GuadalupeMés informacióMés informacióMés informació
Document typeArticle
Defense date2015-06-03
PublisherTaylor & Francis
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
The 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 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.
CitationSerrat, C., Rué, M., Armero, C., Piulachs, X., Perpiñán, H., Forte, A., Páez, Á., Gomez, G. Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data. "Journal of Applied Statistics", 03 Juny 2015, vol. 42, núm. 6, p. 1223-1239. 
URIhttp://hdl.handle.net/2117/85035
DOI10.1080/02664763.2014.999032
ISSN0266-4763
Collections
  • GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica - Articles de revista [205]
  • Departament de Matemàtiques - Articles de revista [3.102]
  • Departament d'Estadística i Investigació Operativa - Articles de revista [684]
  View Usage Statistics

Show full item record

FilesDescriptionSizeFormatView
Serrat-etal-final.pdf531,3KbPDFView/Open

Browse

This CollectionBy Issue DateAuthorsOther contributionsTitlesSubjectsThis repositoryCommunities & CollectionsBy Issue DateAuthorsOther contributionsTitlesSubjects

© UPC Obrir en finestra nova . Servei de Biblioteques, Publicacions i Arxius

info.biblioteques@upc.edu

  • About This Repository
  • Contact Us
  • Send Feedback
  • Privacy Settings
  • Inici de la pàgina