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 [125]
Recent Submissions
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Effect of an editorial intervention to improve the completeness of reporting of randomised trials: a randomised controlled trial
(2020-05-18)
Article
Open AccessObjective To evaluate the impact of an editorial intervention to improve completeness of reporting of reports of randomised trials. Design Randomised controlled trial (RCT). Setting BMJ Open’s quality improvement programme. ... -
Development of ARCADIA: a tool for assessing the quality of peer-review reports in biomedical research
(2020-06)
Article
Open AccessObjective To develop a tool to assess the quality of peer- review reports in biomedical research. Methods We conducted an online survey intended for biomedical editors and authors. The survey aimed to (1) determine if ... -
The use and adherence of oral anticoagulants in Primary Health Care in Catalunya, Spain: a real-world data cohort study
(Elsevier, 2020-10)
Article
Open AccessObjective: We aimed to describe sociodemographic, comorbidities, co-medication and risk of thromboembolic events and bleeding in patients with NVAF initiating oral anticoagulants (OAC) for stroke prevention, and to estimate ... -
Internet Gaming Disorder in adolescents: personality, psychopathology and evaluation of a psychological intervention combined with parent psychoeducation
(2018-05-28)
Article
Open AccessInternet Gaming Disorder is an increasingly prevalent disorder, which can have severe consequences in affected young people and in their families. There is an urgent need to improve existing treatment programs; these are ... -
On two mixture-based clustering approaches used in modeling an insurance portfolio
(2018-06)
Article
Open AccessWe review two complementary mixture-based clustering approaches for modeling unobserved heterogeneity in an insurance portfolio: the generalized linear mixed cluster-weighted model (CWM) and mixture-based clustering for ... -
Modeling unobserved heterogeneity in susceptibility to ambient benzoapyrene concentration among children with allergic asthma using a mixture-based clustering approach
(2018-01)
Article
Open AccessCurrent studies of gene × air pollution interaction typically seek to identify unknown heritability of common complex illnesses arising from variability in the host’s susceptibility to environmental pollutants of interest. ... -
Finite mixture biclustering of discrete type multivariate data
(2018-05-15)
Article
Open AccessMany of the methods which deal with clustering in matrices of data are based on mathematical techniques such as distance-based algorithms or matrix decomposition and eigenvalues. In general, it is not possible to use ... -
Statistical considerations for crowdsourced perceptual ratings of human speech productions
(Taylor & Francis, 2018-11-14)
Article
Open AccessCrowdsourcing has become a major tool for scholarly research since its introduction to the academic sphere in 2008. However, unlike in traditional laboratory settings, it is nearly impossible to control the conditions under ... -
Bayesian model-based clustering for longitudinal ordinal data
(2019-09)
Article
Open AccessTraditional cluster analysis methods used in ordinal data, for instance k-means and hierarchical clustering, are mostly heuristic and lack statistical inference tools to compare among competing models. To address this we ... -
Categorising count data into ordinal responses with application to ecological communities
(2016-06)
Article
Open AccessCount data sets may involve overdispersion from a set of species and underdispersion from another set which would require fitting different models (e.g. a negative binomial model for the overdispersed set and a binomial ... -
Model-based goodness-of-fit tests for the ordered stereotype model
(2019-07-30)
Article
Restricted access - publisher's policyThis paper presents two new model-based goodness-of-fit tests for the ordered stereotype model applied to an ordinal response variable. The proposed tests are based on the Lipsitz test, which partitions the subjects into ... -
A method for ordinal outcomes: The ordered stereotype model
(2019-12)
Article
Open AccessObjective : The collection and use of ordinal variables are common in many psychological and psychiatric studies. Although the models for continuous variables have similarities to those for ordinal variables, there are ...
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