Biostatnet

The thematic network BIOSTATNET aims to link together Spanish researchers in biostatistics with an integrative, multidisciplinary, flexible, and open focus.
This is a pioneer network in Spain mainly consisting of 8 nodes leaded by statisticians from different universities with own research projects and teaching experience in biostatistical matters and working closely with biomedical researchers. BIOSTATNET gathers and represents the main lines of investigation of each of the nodes involved. Its main objectives are:

Coordinate research and teaching of biostatistics in Spain, allowing for an international projection;
Promote an adequate education in biostatistics;
Help to show its transparency and applicability in biomedicine.

News and Activities

Postdoctoral research fellow position – Berlin

Humboldt University of Berlin - 3 years with possible extension Research on mathematical and statistical aspects of Bayesian statistical learning approaches and novel methods towards high-dimensional distributional models. *Starting date: As soon as possible More details...

Summer School on Modern Methods in Biostatistics and Epidemiology

31 MAY -13 JUNE 2020. CISON DI VALMARINO-TREVISO, ITALY CASTELLO BRANDOLINI COLOMBAN The Summer School on Modern Methods in Biostatistics and Epidemiology is held in the Brandolini Colomban Castle located in Cison di Valmarino, in the Northeast of Italy. The School offers introductory and advanced courses in biostatistics and epidemiology, and their application to clinical and etiology research and public health. Modern medical research is becoming increasingly formalized. Today researchers, physicians and health professionals are encouraged to use scientific data, including controlled experiments and well-structured observational data as the source for decision making. Evidence based medicine is entering into many subspecialties, including public health science. This School provides participants insight into available analytical tools for planning research, handling data and interpreting results. Better understanding of scientific medical papers is also a goal and it requires not only knowledge of the topic being investigated but also an understanding of the research methods being used. The final deadline for registration is May 24, 2020. More info about it in: http://www.biostatepi.org/

3 RECOGNIZED RESEARCHERS-PI JUNIOR. CINBIO

REFERENCE: CINBIO20-10. 3 RECOGNIZED RESEARCHERS, PI JUNIOR CINBIO aims at generating first class science; training in values of excellence and make returns to the society, under a multidisciplinary approach. It is working on basic, applied and clinical research, to address prevention, diagnosis and therapy in Biomedicine. They are opening a new strategic roadmap with four main strategic areas: Molecular medicine / Nutrition and Wellness / Nanomaterials / Bio-statistics and Health informatics and intelligent systems. There are 14 research leaders in the areas of Applied Physics / Biomass and Sustainable Development / Analytical & Food Chemistry –Biotoxins- / Colloid Chemistry and Nanophotonics / Magnetic Materials / Nanocatalysis and biosensors / Organic Chemistry / Neuroscience / Endocrinology / Rare Diseases/ Immunology / Evolutionary and Biomedical Genomics / Next Generation Computer Systems / Biostatistics and Epidemiology. Profile: The Biomedical Research Center (CINBIO) offers up to 3 full-time positions RECOGNIZED RESEARCHERS, PI JUNIOR. Requested: Candidates must have postdoctoral research experience with a very good publication track record. CINBIO wants to attract and retain young talent to further develop its strategic lines of research. Skills: - Willing to build up on our strengths, and driven to become PIs established researchers in 1-2 years time. - Able to lead in executing collaborative research projects in cooperation with colleagues and project partners. - Publishes in high impact journals with a relevant role. - Committed to professional development of his/her own career and acts as mentor for PhD and Master students. For more information download the PDF or visit https://bit.ly/37R0eBu

Nodes

Nodo GALICIA

Investigador Responsable: Carmen María Cadarso Suárez

Con 58 miembros liderados por Carmen Cadarso, Javier Roca, José A. Vilar y Francisco Gude investigando en: Inferencia en Modelos Aditivos Generalizados (GAM). Extensiones del Modelo GAM. Modelos Aditivos Multi-estado (MSM) en Supervivencia.

Nodo CATALUNYA – BIO

Investigador Responsable: Guadalupe Gómez Melis

El nodo Catalunya-Bio, liderado por Guadalupe Gómez Melis, está formado por 34 investigadores de cuatro universidades catalanas, tres universidades extranjeras y siete instituciones biomédicas. Sus principales líneas de investigación son de las áreas de la bioestadística y de la bioinformática.

Nodo CATALUNYA – SEA

Investigador Responsable: Pere Puig Casado

Con 18 miembros liderados por Pere Puig investigando en: modelización estadística avanzada, series temporales, datos longitudinales, curvas ROC, análisis de supervivencia y modelos mixtos.

Nodo VALENCIA – VABAR

Investigador Responsable: Carmen Armero Cervera

El Grupo Valencian Bayesian Research Group, VABAR, está formado por 24 investigadores cuyo objetivo es la implantación y desarrollo de metodologías novedosas de estadística espacial y temporal en escenarios reales de tipo epidemiológico, farmacológico y medioambiental.

Nodo MADRID

Investigador Responsable: María Luz Durbán Reguera

Con 27 miembros liderados por María Luz Durbán Reguera, investigando en: Modelos basados en P-splines para datos espacio-temporales, Estimación y predicción en áreas pequeñas mediante P-splines, Métodos de estimación para curvas ROC.

Nodo GRANADA

Investigador Responsable: Antonio Martín Andrés

Con 10 miembros dirigidos por los catedráticos Antonio Martín Andrés y Juan de Dios Luna del Castillo, investigando en métodos tanto exactos como asintóticos para el análisis de Tablas de Contingencia

Nodo CASTILLA – LA MANCHA – OED

Investigador Responsable: Jesús López Fidalgo

El nodo Castilla-La Mancha – OED está formado por un total de 25 investigadores de 8 Universidades Españolas distintas y 1 extranjera. El Diseño Óptimo de Experimentos, que proporciona herramientas para una investigación más eficiente, es el punto de unión de los trabajos de estos investigadores.

Nodo PAÍS VASCO

Investigador Responsable: Vicente Núñez Antón

Con 27 miembros liderados por Vicente Núñez Antón investigando en: datos longitudinales, análisis de supervivencia, técnicas no paramétricas, modelización de la calidad de vida relacionada con la salud.