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Biostatnet

La red temática BIOSTATNET quiere ser el núcleo de conexión de los investigadores españoles de Bioestadística, con un enfoque flexible, abierto, integrador e interdisciplinar. Esta Red, pionera en España, consta de 8 nodos y 224 miembros liderados por estadísticos universitarios con proyectos propios de investigación, experiencia docente en bioestadística y colaboración estrecha con investigadores biomédicos. BIOSTATNET agrupa y representa las distintas líneas de investigación de cada uno de los nodos involucrados. Sus objetivos principales son:

  • Coordinar la investigación y la docencia de bioestadística en España, permitiendo su proyección internacional;
  • Potenciar la formación adecuada en bioestadística;
  • Favorecer su transferencia y aplicabilidad en biomedicina.

Noticias y Actividades

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  
35th International Workshop on Statistical Modelling (IWSM2020)
July 19 - 24, 2020. Bilbao, Basque Country, Spain. The 35th International Workshop on Statistical Modelling (IWSM) will be held in Bilbao 19-24 July 2020. IWSM is one of the major activities of the Statistical Modelling Society, founded with the purpose of promoting and encouraging statistical modelling in its widest sense. The workshop aims to involve both academic and professional statisticians and data analysts with a particular focus on real data problems which involve an element of novel statistical modelling, or novel model application. Papers focusing on applications with important substantive implications as well as methodological issues are welcome. Submissions by students and young researchers are particularly encouraged. All the accepted papers will be included in the Proceedings of the Workshop. IMPORTANT DATES ================== Registration and abstract submission begins: December 1, 2020 Deadline call for oral presentation abstracts: February 15, 2020 Deadline call for poster presentation abstracts: April 1, 2020 Early registration deadline: April 30, 2020 Short course: July 19, 2020 Conference: July 20-24, 2020 KEYNOTE SPEAKERS =================== Maria Durban (University Carlos III of Madrid, Spain). Montserrat Fuentes (University of Iowa, USA). Yudi Pawitan (Karolinska Institutet, Sweden). Virginie Rondeau (INSERM, Bordeaux, France). Stijn Vansteelandt (Ghent University, Belgium). SHORT COURSE =============== "Bayesian spatio-temporal modeling"  by Virgilio Gómez Rubio (Universidad de Castilla-La Mancha, Spain). FURTHER DETAILS AND CONTACT ============================= https://wp.bcamath.org/iwsm2020/ iwsm2020@bcamath.org

Nodos

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.