Now showing items 1-6 of 6

    • A shared-parameter joint model for prostate cancer risk and psa longitudinal profiles 

      Serrat Piè, Carles; Rué, Montserrat; Perpiñán Fabuel, Hèctor; Forte, Anabel; Armero, Carmen; Piulachs, Xavier; Páez, Álvaro; Gómez Melis, Guadalupe (Fundación Mapfre, 2015)
      Conference report
      Open Access
      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 ...
    • Bayesian correlated models for assessing the prevalence of viruses in organic and non-organic agroecosystems 

      Lázaro, Elena; Armero, Carmen; Rubio, Luis (Institut d'Estadística de Catalunya, 2017-06-21)
      Article
      Open Access
      Cultivation of horticultural species under organic management has increased in importance in recent years. However, the sustainability of this new production method needs to be supported by scientific research, especially ...
    • Bayesian joint ordinal and survival modeling for breast cancer risk assessment 

      Armero, Carmen; Forné, Carles; Rué, Montserrat; Forte Deltell, Anabel; Perpiñán Fabuel, Hèctor; Gómez Melis, Guadalupe; Bare Mañas, Maris (2016-12-10)
      Article
      Open Access
      We propose a joint model to analyze the structure and intensity of the association between longitudinal measurements of an ordinal marker and time to a relevant event. The longitudinal process is defined in terms of a ...
    • Exploring Bayesian models to evaluate control procedures for plant disease 

      Alvares, Danilo; Armero, Carmen; Forte, Anabel; Rubio, Luis (Institut d'Estadística de Catalunya, 2016-06-17)
      Article
      Open Access
      Tigernut tubers are the main ingredient in the production of orxata in Valencia, a white soft sweet popular drink. In recent years, the appearance of black spots in the skin of tigernuts has led to important economic losses ...
    • Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data 

      Serrat Piè, Carles; Rué, Montserrat; Armero, Carmen; Piulachs, Xavier; Perpiñán Fabuel, Hèctor; Forte, Anabel; Páez, Álvaro; Gómez Melis, Guadalupe (Taylor & Francis, 2015-06-03)
      Article
      Open Access
      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 ...
    • Joint modelling analysis of prostate cancer incidence: frequentist and bayesian approaches 

      Piulachs, Xavier; Serrat Piè, Carles; Rué, Montserrat; Armero, Carmen; Forte, Anabel; Perpiñán, Héctor; Luján, Marcos; Páez, Álvaro (2013)
      Conference lecture
      Open Access
      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 ...