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.
Col·leccions
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Articles de revista [214]
Enviaments recents
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Determining the degree of deformation in rain drainage installations through point cloud modelling
(2023)
Article
Accés obertBuildings are often complex and hindered by identifying and measuring deformation in both the building itself and its elements. However, we have the assistance of 3D laser scanning technology which allows us to collect ... -
Moving from an ERASMUS+ innovation project on mathematics in engineering education to the teaching practice: Learnings from the UPC experience
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertThe main aim of this Research-to-Practice Workin-Progress paper is to analyze, discuss and share with the academic community the application of the outputs of research and innovation projects to the real teaching practice ... -
Classification systems for the built environment: a cornerstone for the long-term performance analysis
(Scipedia, 2023)
Text en actes de congrés
Accés obertIn the long-term performance analysis of the built environment, classification systems are seen as a key consideration. When classifying residential building objects, characteristics such as accuracy, exhaustivity, and ... -
Survival analysis with censored data: a further twist on ignorability conditions
(Taylor & Francis Group, 2024-02-04)
Article
Accés obertA key assumption for the application of methods concerning censored data is that the random nature of the censoring mechanism should be ignorable when making likelihood-based inferences. The constant-sum property is an ... -
Burnout in residents during the first wave of the COVID-19 pandemic: a systematic review and meta-analysis
(Frontiers Media SA, 2024-01-24)
Article
Accés obertThe high prevalence of burnout in resident physicians is expected to have increased as a result of the expansion of the pandemic. We conducted a systematic review with a meta-analysis of studies conducted during the first ... -
Mixture-based clustering with covariates for ordinal responses
(2023)
Text en actes de congrés
Accés restringit per política de l'editorialExisting methods can perform likelihood-based clustering on a multivariate data matrix of ordinal responses, using finite mixtures to cluster the rows and columns of the matrix. Those models can incorporate the main effects ... -
Gut microbiome signatures linked to HIV-1 reservoir size and viremia control
(2022-04-11)
Article
Accés obertBackground The potential role of the gut microbiome as a predictor of immune-mediated HIV-1 control in the absence of antiretroviral therapy (ART) is still unknown. In the BCN02 clinical trial, which combined the MVA.HIVconsv ... -
Heterogeneity of treatment response to beta-blockers in the treatment of portal hypertension: a systematic review
(2024-02)
Article
Accés obertBackground: It has been suggested that a relevant proportion of patients do not respond to nonselective beta-blockers (NSBB)s, which raises questions regarding the need for individualized therapy. The existence of potential ... -
One-dimensional mixture-based clustering for ordinal responses
(2023)
Text en actes de congrés
Accés restringit per política de l'editorialExisting methods can perform likelihood-based clustering on a multivariate data matrix of ordinal responses, using finite mixtures to cluster the rows and columns of the matrix. Those models can incorporate the main effects ... -
Brealing through the traffic congestion: asynchronous time series data integration and XGBoost for accurate traffic density prediction
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obert -
Prevalence, progression, and management of advanced chronic kidney disease in a cohort of people living with HIV
(2022-04-26)
Article
Accés restringit per política de l'editorial -
Effectiveness and safety of integrase strand transfer inhibitors in Spain: a prospective real-world study
(2023-06-26)
Article
Accés obertIntroduction: Second-generation integrase strand transfer inhibitors (INSTIs) are preferred treatment options worldwide, and dolutegravir (DTG) is the treatment of choice in resource-limited settings. Nevertheless, in some ...
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