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

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

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 incide...

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Bibliographische Detailangaben
Hauptverfasser: Piulachs, Xavier, Serrat Piè, Carles, Rué, Montserrat, Armero, Carmen, Forte, Anabel, Perpiñán, Héctor, Luján, Marcos, Páez, Álvaro
Format: Text Resource
Sprache:eng
Schlagworte:
Anàlisi de supervivència (Biometria)
Estadística aplicada
Estadística biosanitària
Joint Modelling
Longitudinal data
Longitudinal method
Matemàtiques i estadística
Mètode longitudinal
Survival Analysis
Survival analysis (Biometry)
Àrees temàtiques de la UPC
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Zusammenfassung: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. Peer Reviewed