GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica
El GRBIO és un grup interdisciplinari amb interessos diversos tant metodològics com aplicats amb una base comuna que és l'aplicació rigorosa de l'estadística a problemes suscitats a les Ciències de la Vida i de la Salut. Les activitats científiques les agrupem en tres àmbits:
1) Assajos clínics: aportacions metodològiques en les fases de disseny i modelat estadístic;
2) Anàlisi integrativa de dades òmiques: mètodes estadístics multivariants i de "machine learning";
3) Desenvolupament d'eines estadístiques i informàtiques per l'explotació dels resultats de la recerca biomèdica.
Mencionem també les contribucions a l'anàlisi i representació de dades multivariants, a l'anàlisi de dades de supervivència amb censura en un interval, a l'optimització del disseny de fàrmacs amb simulació i a la resolució de problemes aplicats en camps com VIH/SIDA, oncologia, neurociències, cardiologia o immunologia.
Research Group in Biostatistics and Bioinformatics (GRBIO) combines researchers with solid basis in statistics, good background in mathematics and/or computer science and significant knowledge of the scientific field of application in which we collaborate. GRBIO aims to address interdisciplinary problems by merging Biostatistics and Bioinformatics knowledge and to make relevant scientific contributions on health areas where closer collaboration is needed.
Research Group in Biostatistics and Bioinformatics (GRBIO) combines researchers with solid basis in statistics, good background in mathematics and/or computer science and significant knowledge of the scientific field of application in which we collaborate. GRBIO aims to address interdisciplinary problems by merging Biostatistics and Bioinformatics knowledge and to make relevant scientific contributions on health areas where closer collaboration is needed.
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Articles de revista [205]
Recent Submissions
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Prognostic accuracy of N20 somatosensory potential in patients with acute ischemic stroke and endovascular thrombectomy
(Ovid Technologies Wolters Kluwer -American Heart Association, 2023-06-14)
Article
Open AccessBackground Somatosensory evoked potentials (SEP) may add substantial prognostic value in patients with acute ischemic stroke (AIS) and contribute to the selection of patients that may benefit from revascularization therapies ... -
Row mixture-based clustering with covariates for ordinal responses
(2023-07-22)
Article
Open AccessExisting methods can perform likelihood-based clustering on a multivariate data matrix of ordinal data, using finite mixtures to cluster the rows (observations) of the matrix. These models can incorporate the main effects ... -
MSMpred: interactive modelling and prediction of individual evolution via multistate models
(Springer Nature, 2023-05-24)
Article
Open AccessBackground: Modelling the course of a disease regarding severe events and identifying prognostic factors is of great clinical relevance. Multistate models (MSM) can be used to describe diseases or processes that change ... -
Psychosocial and biological predictors of resident physician burnout
(2022-09)
Article
Open AccessBackground A high proportion of health professionals in training suffer from work-related stress and may develop a burnout syndrome. Objectives To study the incidence of burnout after the first year of residency in a ... -
Circulating carotenoids are associated with favorable lipid and fatty acid profiles in an older population at high cardiovascular risk
(2022-09-29)
Article
Open AccessCarotenoid intake has been reported to be associated with improved cardiovascular health, but there is little information on actual plasma concentrations of these compounds as biomarkers of cardiometabolic risk. The objective ... -
Analysis of classification systems for the built environment: historical perspective, comprehensive review and discussion
(Elsevier, 2023-05-15)
Article
Open AccessResearch into the organisation of building project information began to bear fruit in the 1950s when the first classification system for the construction industry was introduced. Driven by the growing use of digital tools ... -
Safety and preliminary efficacy on cognitive performance and adaptive functionality of epigallocatechin gallate (EGCG) in children with Down syndrome: a randomized phase Ib clinical trial (PERSEUS study)
(2022-10)
Article
Open AccessPurpose: Although some caregivers are using epigallocatechin gallate (EGCG) off label in hopes of improving cognition in young adults with Down syndrome (DS), nothing is known about its safety, tolerability, and efficacy ... -
A systematic review of sport-related packages within the R CRAN repository
(2023-04-01)
Article
Open AccessThe sports statistics community is rapidly evolving. R is an open-source software in constant development that has gained a lot of popularity within statistical communities and sports analytics. This work presents a ... -
COVID-19 after two years: trajectories of different components of mental health in the Spanish population
(2023-04-17)
Article
Open AccessAims: Our study aimed to (1) identify trajectories on different mental health components during a two-year follow-up of the COVID-19 pandemic and contextualise them according to pandemic periods; (2) investigate the ... -
APRIL: a double-blind, placebo-controlled, randomized, Phase Ib/IIa clinical study of ApTOLL for the treatment of acute ischemic stroke
(Frontiers Media SA, 2023-02-24)
Article
Open AccessIn the reperfusion era, a new paradigm of treating patients with endovascular treatment (EVT) and neuroprotective drugs is emerging as a promising therapeutic option for patients with acute ischemic stroke (AIS). In this ... -
Government interventions and control policies to contain the first COVID-19 outbreak: An analysis of evidence
(2023-03-08)
Article
Open AccessBackground: The overarching aim of this study was to evaluate the effectiveness over time of government interventions and policy restrictions and the impact of determinants on spread and mortality during the first-wave ... -
Join operation for semantic data enrichment of asynchronous time series data
(2023-04)
Article
Open AccessIn this paper, we present a novel framework for enriching time series data in smart cities by supplementing it with information from external sources via semantic data enrichment. Our methodology effectively merges multiple ...