The Catalunya-SEA node, led by researchers David Moriña Soler (Universitat de Barcelona) and Anabel Blasco Moreno (Universitat Autònoma de Barcelona), is formed by 21 members. Its main lines of research focus on discrete data analysis and clinical trials.
Principal Investigator: David Moriña Soler (Universitat de Barcelona)
View all membersFrom a methodological research point of view, we can highlight the following lines of research (see poster):
1 – Development of new models for the analysis of misreported data.
2 – Development of new models for longitudinal data where the response variable represents a proportion (matching score).
3 – Construction of new estimators for capture-recapture problems.
4 – Development of new statistical models for count data with applications in biodosimetry.
5 – Implementation of bioinformatics techniques in the context of clinical trials and epidemiology.
6 – Methodological proposals for risk analysis of extreme events.
7 – Development of statistical software.
The statistical methods developed are also transferable to other areas, such as biomedicine, public health and environmental health.
From the point of view of multidisciplinary collaborations,
– Survival analysis in clinical trials and health sciences.
– Mixed models in animal health and agronomic sciences.
– Comparison of ROC curves and summary indices by non-parametric methods under different experimental designs.
The Servei d’Estadística offers technical advice and consultancy in all areas of statistics with the aim of providing specific and feasible solutions to the needs of the researcher in all phases of your project so that the use of statistical techniques is appropriate, and the conclusions of the analysis are appropriate.
This advice is open both to research projects supervised by the UAB itself and to research teams linked to other universities, as well as to professionals, companies or other external institutions.
The different types of advice offered by the UAB Statistical Service are:
Occasional advice.
Occasional advice consists of resolving methodological, technical, software use or interpretation doubts at any stage of the research.
Integral Statistical Support.
The integral statistical support aims to cover the different statistical needs of researchers throughout the research project.
Scientific collaborations
The objective of the scientific collaboration in the statistical analysis is to incorporate the participation of an advisor from the Servei d’Estadística within the research group that carries out the project and to contribute scientifically with methodological, exploratory and technical contributions. Fundamentally, the Servei d’Estadística assumes responsibility for the methodological proposal, and the obtaining and presentation of results.
Specialised training
The Servei d’Estadística adapts consultations or provides support in order to transmit knowledge and offer specialised training in certain statistical analysis methodologies, specific techniques or statistical software.
Statistical Audits
As an independent entity and backed by its high technical experience, the Statistical Service offers statistical audits, the aim of which is to regulate, validate and review statistical analyses of certain projects.
Agreements
With the aim of consolidating the collaboration between the Statistical Service and different entities and at the same time establishing agile communication in large-scale projects.
Consultancy Activities
Annually, the UAB Applied Statistics Service carries out more than 50 data analysis projects and provides around 60 technical and methodological consultancy services. At the same time it teaches about 20 courses on Statistics.
La Caixa
Celgene, SL
Ondax Scientific SL
Centre de Recerca Ecològica I Aplicacions Forestals
Centre de Recerca en Sanitat Animal
Institut d’Estadística de Catalunya
Centre d’Estudis d’Opinió
Hospital Germans Trias i Pujol
Fundació Puigvert
Diputació de Barcelona
Fundació La Caixa
Banc de Sabadell
GlaxoSmithKline
Almiral
David Moriña Soler
Principal InvestigatorComité EjecutivoUniversitat de BarcelonaAmanda Fernández Fontelo
Humboldt University of BerlinAna Alejandra Cabaña Nigro
Universitat Autónoma de BarcelonaAna Vázquez Fariñas
Universitat Autónoma de BarcelonaAnabel Blasco Moreno
Universitat Autónoma de BarcelonaBlanca Rius Sanalvador
Institut d’Investigació Biomèdica de Bellvitge (IDIBELL)David Bars Cortina
Institut d’Investigació Biomèdica de Bellvitge (IDIBELL)Dorota Mlynarczyk
Universitat Autónoma de BarcelonaEster Boixadera Planas
Universitat Autónoma de BarcelonaFerrán Torres Benítez
Hospital Clínic de BarcelonaIsabel Serra Mochales
Centre de Recerca MatemàticaJosé Ríos Guillermo
Universitat Autónoma de BarcelonaLlorenç Badiella Busquets
Universitat Autónoma de BarcelonaManuel Higueras Hernáez
Universidad de La RiojaMikel Esnaola Acebes
Hospital de GranollersMireia Díaz Sanchís
Institut Català d’OncologiaOliver Valero Coppin
Servei d’Estadística AplicadaPere Puig Casado
Universitat Autónoma de BarcelonaRaquel Iniesta Benedicto
King’s College University (UK)Rosario Delgado de la Torre
Universitat Autónoma de BarcelonaVictor Raúl Moreno Aguado
Institut d’Investigació Biomèdica de Bellvitge (IDIBELL)