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

Author
Piulachs, X.; Serrat, C.; Rué, M.; Armero, C.; Forte, A.; Perpiñán, H.; Luján, M.; Páez, Á.
Type of activity
Presentation of work at congresses
Name of edition
XIV Conferencia Española de Biometría
Date of publication
2013
Presentation's date
2013-05-24
Book of congress proceedings
XIV Conferencia Española de Biometría, Ciudad Real 22-24 Mayo 2013
First page
222
Last page
225
Project funding
MTM2012–38067–C02–01
Repository
http://hdl.handle.net/2117/22507 Open in new window
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.
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.
Keywords
Joint Modelling, Longitudinal data, Survival Analysis
Group of research
GRBIO - Biostatistics and Bioinformatics Research Group

Participants

  • Piulachs Lozada Benavente, Xavier  (author and speaker )
  • Serrat Pie, Carles  (author and speaker )
  • Rué, Montserrat  (author and speaker )
  • Armero, Carmen  (author and speaker )
  • Forte, Anabel  (author and speaker )
  • Perpiñán, Héctor  (author and speaker )
  • Luján Galán, Marcos  (author and speaker )
  • Páez, Álvaro  (author and speaker )

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