التفاصيل البيبلوغرافية
| العنوان: |
A shared-parameter joint model for prostate cancer risk and psa longitudinal profiles |
| المؤلفون: |
Serrat Piè, Carles, Rué, Montserrat, Perpiñán Fabuel, Hèctor, Forte, Anabel, Armero, Carmen, Piulachs, Xavier, Páez, Álvaro, Gómez Melis, Guadalupe |
| المساهمون: |
Universitat Politècnica de Catalunya. Departament de Matemàtiques, Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa, Universitat Politècnica de Catalunya. GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica |
| بيانات النشر: |
Fundación Mapfre |
| سنة النشر: |
2015 |
| مصطلحات موضوعية: |
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada::Estadística biosanitària, Bayesian statistical decision theory, Estadística bayesiana, stat, psy |
| الوصف: |
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. ; Peer Reviewed ; Postprint (published version) |
| نوع الوثيقة: |
other/unknown material |
| اللغة: |
English |
| العلاقة: |
http://hdl.handle.net/2117/82670Test |
| الإتاحة: |
http://hdl.handle.net/2117/82670Test |
| حقوق: |
undefined |
| رقم الانضمام: |
edsbas.4A406A17 |
| قاعدة البيانات: |
BASE |
