期刊
JOURNAL OF APPLIED STATISTICS
卷 42, 期 6, 页码 1223-1239出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/02664763.2014.999032
关键词
62P10; 62N01; relative risk models; linear mixed models; shared-parameter models; prostate cancer screening; joint models
资金
- Spanish Ministry of Economy and Competitiveness [MTM2012-38067-C02-01, MTM2013-42323-P]
- Departament d'Economia i Coneixement de la Generalitat de Catalunya [2014 SGR 464]
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.
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