Browsing by Author "Rué, Montserrat"
Now showing items 1-7 of 7
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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 Lozada Benavente, Xavier; Páez, Álvaro; Gómez Melis, Guadalupe (Fundación Mapfre, 2015)
Conference report
Open AccessThe 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 AccessSurvival 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 AccessWe 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 AccessThere 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 Lozada Benavente, Xavier; Perpiñán Fabuel, Hèctor; Forte, Anabel; Páez, Álvaro; Gómez Melis, Guadalupe (Taylor & Francis, 2015-06-03)
Article
Open AccessThe 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 Lozada Benavente, Xavier; Serrat Piè, Carles; Rué, Montserrat; Armero, Carmen; Forte, Anabel; Perpiñán, Héctor; Luján, Marcos; Páez, Álvaro (2013)
Conference lecture
Open AccessProstate 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 AccessThe 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 ...