Now showing items 1-7 of 7

    • 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 ...
    • Assessing the impact of early detection biases on breast cancer survival of Catalan women 

      Roso-Llorach, Albert; Forné, Carles; Macià, Francesc; Galceran, Jaume; Marcos-Gragera, Rafael; Rué, Montserrat (Institut d'Estadística de Catalunya, 2014-12)
      Article
      Open Access
      Survival estimates for women with screen-detected breast cancer are affected by biases specific to early detection. Lead-time bias occurs due to the advance of diagnosis, and length-sampling bias because tumors detected ...
    • 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 ...
    • Characterization of the CPAP-treated patient population in Catalonia 

      Turino, Cecilia; Bertrán, Sandra; Gavaldà Mestre, Ricard; Teixidó, Ivan; Woehrle, Holger; Rué, Montserrat; Solsona, Francesc; Escarrabill, Joan; Colls, Cristina; García Altés, Anna; Batlle, Jordi de; Sánchez de la Torre, Manuel; Barbé, Ferran (2017-09-21)
      Article
      Open Access
      There are different phenotypes of obstructive sleep apnoea (OSA), many of which have not been characterised. Identification of these different phenotypes is important in defining prognosis and guiding the therapeutic ...
    • 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 ...
    • Univariate parametric survival analysis using GS-distributions. 

      Sorribas, Albert; Muiño, José M.; Rué, Montserrat; Fibla, Joan (Institut d'Estadística de Catalunya, 2006)
      Article
      Open Access
      The GS-distribution is a family of distributions that provide an accurate representation of any unimodal univariate continuous distribution. In this contribution we explore the utility of this family as a general model in ...