Universitat de Lleida
    • English
    • català
    • español
  • English 
    • English
    • català
    • español
  • Login
Repositori Obert UdL
View Item 
  •   Home
  • Recerca
  • Ciències Mèdiques Bàsiques
  • Articles publicats (Ciències Mèdiques Bàsiques)
  • View Item
  •   Home
  • Recerca
  • Ciències Mèdiques Bàsiques
  • Articles publicats (Ciències Mèdiques Bàsiques)
  • 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 PSA data

Thumbnail
View/Open
023100.pdf (531.3Kb)
Sol·licita una còpia
Issue date
2014
Author
Serrat, Carles
Rué i Monné, Montserrat
Armero, Carmen
Piulachs, Xavier
Perpiñán, Hèctor
Forte, Anabel
Páez, Álvaro
Gómez, Guadalupe
Suggested citation
Serrat, Carles; Rué i Monné, Montserrat; Armero, Carmen; Piulachs, Xavier; Perpiñán, Hèctor; Forte, Anabel; ... Gómez, Guadalupe. (2014) . Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal PSA data. Journal of Applied Statics, 2015, vol. 42, núm. 6. https://doi.org/10.1080/02664763.2014.999032.
Impact


Web of Science logo    citations in Web of Science

Scopus logo    citations in Scopus

Google Scholar logo  Google Scholar
Share
Export to Mendeley
Metadata
Show full item record
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 (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.
URI
http://hdl.handle.net/10459.1/56954
DOI
https://doi.org/10.1080/02664763.2014.999032
Is part of
Journal of Applied Statics, 2015, vol. 42, núm. 6
European research projects
Collections
  • Articles publicats (Ciències Mèdiques Bàsiques) [559]
  • Publicacions de projectes de recerca del Plan Nacional [2684]

Contact Us | Send Feedback | Legal Notice
© 2022 BiD. Universitat de Lleida
Metadata subjected to 
 

 

Browse

All of the repositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

Statistics

View Usage Statistics

D'interès

Política institucional d'accés obertDiposita les teves publicacionsDiposita dades de recercaSuport a la recerca

Contact Us | Send Feedback | Legal Notice
© 2022 BiD. Universitat de Lleida
Metadata subjected to