Now showing items 1-4 of 4

    • 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 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 ...
    • 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 ...
    • Young biostatisticians in Spain: career or race? 

      Lorenzo Arribas, Altea; Martínez Silva, Isabel; Gómez Mateu, Moisés; Pérez Álvarez, Nuria; Perpiñán Fabuel, Hèctor; Valero Coppin, Oliver (Sociedad de Estadística e Investigación Operativa (SEIO), 2013-10)
      Article
      Restricted access - publisher's policy
      Challenges and new opportunities for the integration of biostatisticians in multidisciplinary teams are a major concern in the field. New forms of broader training in the life sciences, collaborations with other scientists, ...