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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

València International Bayesian Summer School (VIBASS.4)
València International Bayesian Summer School (VIBASS.4) will take place from 12 to 16 July 2021 in València (Spain). VIBASS4 can be followed either on-site or on-line.   VIBASS.4 is a 5-day summer school that offers an introduction to Bayesian learning without requiring previous knowledge in the subject.   The five days of VIBASS.4 are organised in three parts: 1) Monday 12 and Tuesday 13 include a basic course on Bayesian learning (12 hours), with conceptual sessions and practical sessions with R packages. It would be advisable that participants bring their laptops for the practical sessions. 2) Wednesday 14 and Thursday 15 is dedicated to an issue of current interest in Bayesian research. This edition is dedicated to Integrated nested Laplace approximation (INLA), with an introduction to the general methodology and the R-INLA package. This 12 hours course is provided by Håvard Rue and Janet van Niekerk (King Abdullah University of Science and Technology, KAUST, Saudi Arabia). 3) Friday 16 is the last day of the school. It is devoted to the Fourth VIBASS Workshop. We will have two plenary sessions with invited speakers Paula Moraga (King Abdullah University of Science and Technology, KAUST, Saudi Arabia), and David Rosell (Universitat Pompeu Fabra, Spain). Attendees of the school are encouraged to present their research in an informal brainstorming as well as in a poster session.   VIBASS.4 is organized by the VAlència BAyesian Research group, VABAR research group and supported by Universitat de València, Biomathematics and Statistics Scotland (BioSS), and La Recherche Agronomique por le Dévelopment (CIRAD). More information and practical details about VIBASS.4 including registration form can be found at
The call for the RISEUP-PPD training school in EVIDENCE-BASED PPD INTERVENTIONS organized by WG1 is now open and the applications will be open until January, 8th.   The training school will take place between 17 and 19 February 2021, in three different sites and online: Department of Psychology, National University of Distance Education (Spain); Department of Pharmacy, University of Oslo (Norway); Department of Psychology, Catholic University of Croatia (Zagreb, Croatia).    It would be a great opportunity to learn about topics such as: evidence-based studies and development of clinical guidelines/recommendations; evidence-based psychopharmacological and psychological interventions for PPD; and new approaches for PPD treatment.    Don’t miss the opportunity to apply! Participants are financially supported by the Action upon sending  their application according to the rules.   More info: trainingschool3_call_finalversion
PhD Candidate Biostatistics – Leiden University Medical Center
Deadline:  13/12/2020 We are looking for a PhD candidate in Biostatistics who will work on developing new statistical methods to derive omic-based biological age predictors. The project is focused on investigating different types of high-dimensional prediction models for survival data. Supervised by prof. Hein Putter and Dr. Mar Rodríguez Girondo at the Leiden University Medical Center, plus much national and international collaboration with statisticians, epidemiologists and biologists.  Read the full vacancy at



Investigador Responsable: Carmen María Cadarso Suárez

Con 62 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.


Investigador Responsable: Guadalupe Gómez Melis

El nodo Catalunya-Bio, liderado por Guadalupe Gómez Melis, está formado por 42 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.


Investigador Responsable: Pere Puig Casado

Con 21 miembros liderados por Pere Puig investigando en: modelización estadística avanzada, series temporales, datos longitudinales, curvas ROC, análisis de supervivencia y modelos mixtos.


Investigador Responsable: Carmen Armero Cervera

El Grupo Valencian Bayesian Research Group, VABAR, está formado por 29 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.


Investigador Responsable: María Luz Durbán Reguera

Con 28 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.


Investigador Responsable: Juan de Dios Luna del Castillo

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


Investigador Responsable: Jesús López Fidalgo

El nodo Castilla-La Mancha – OED está formado por un total de 33 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.


Investigador Responsable: Vicente Núñez Antón

Con 32 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.