2026-04-13T01:42:44Zhttps://recercat.cat/oai/requestoai:recercat.cat:10459.1/569542024-12-05T22:28:13Zcom_2072_3622col_2072_479130
RECERCAT
author
Serrat, Carles
author
Rué i Monné, Montserrat
author
Armero, Carmen
author
Piulachs, Xavier
author
Perpiñán, Hèctor
author
Forte, Anabel
author
Páez, Álvaro
author
Gómez, Guadalupe
2024-12-05T22:28:13Z
2024-12-05T22:28:13Z
2016-05-05T08:50:04Z2025-01-012014
http://hdl.handle.net/10459.1/56954
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.This paper has been partially supported by research grants MTM2012-38067-C02-01 and MTM2010-19528 from the Spanish Ministry of Economy and Competitiveness and the Spanish Ministry of Education and Science, respectively.
(c) Taylor & Francis, 2015 info:eu-repo/semantics/restrictedAccess
Joint models
Linear mixed models
Prostate cancer screening
Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal PSA data
article publishedVersion