Madrid-UCM node, is led by the researcher Mª del Carmen Pardo (Universidad Complutense University of Madrid), and formed by 20 members. The main research lines revolve around the development of computational of statistical methods that enables us to implement flexible individually tailored solutions for complex problems in the context of clinical research and biomedical research.

Researchers participating in the node

Principal Investigator: María del Carmen Pardo Llorente (Universidad Complutense de Madrid)

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Main lines of investigation


Biomarkers, surrogate endpoints, and clinical outcome assessments provide an essential set of tools needed to translate scientific concepts into diagnostic and therapeutic approaches and technologies. Recent advances in the laboratory sciences have led to the discovery of a large number of candidate biomarkers, which hold great potential for disease diagnosis and treatment. Therefore, it is of huge interest to develop statistical methods for using effectively these candidate biomarkers to enhance clinical practice. It is our goal to develop new tools to select, combine, and evaluate biomarkers for disease classification and treatment selection. Classification markers predict an individual’s disease outcome and are useful for the detection of diseases at an early stage when a treatment is most effective. The node´s main lines of research will be mainly focussed on:

  • Definition of new diagnostic tools and statistical inference.
  • Assessment of diagnostic markers.
  • Joint models for Longitudinal and Survival Data.
  • Statistical Analysis with Missing Data.
  • Selecting and combining biomarkers in high-dimensional data.
  • Adaptive designs.
  • Causal inference techniques.
  • Machine learning and deep learning techniques.
  • Bayesian networks.
  • Software development.

Our last aim is the application of the proposed methodology to real data from health, medical and biological sciences.

Institutions present in the node

Biostatistics consulting activities

Se realiza fundamentalmente con el Servicio de Epidemiología de la Comunidad de Madrid

Entities and groups with which it collaborates

Servicio de Epidemiología de la Comunidad de Madrid

Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)

Grupo de Genética y Epidemiología Molecular del Centro Nacional de Investigaciones Oncológicas

Grupo de Dinámica y Función del Genoma del Centro de Biología Molecular Severo Ochoa

Agencia para la Formación, Investigación y Estudios Sanitarios de la Comunidad de Madrid, Pedro Laín Entralgo

List of node members

  • María del Carmen Pardo Llorente

    Principal InvestigatorComité EjecutivoUniversidad Complutense de Madrid
  • Alba María Franco Pereira

    Universidad Complutense de Madrid
  • Alberto García

    Universidad Complutense de Madrid
  • Ariel Alonso

    Leuven Biostatistics and statistical Bioinformatics Centre
  • Beatriz Cobo

    Universidad de Granada
  • Benjamin Reiser

    University of Haifa
  • Christos Nakas

    University of Thessaly
  • Claudio J. Salaroli

    Universidad Complutense de Madrid
  • David Lora

    Hospital 12 de Octubre_UCM
  • Dimitris Rizopoulos

    Erasmus Medical Center
  • Gökçe Deliorman

    Universidad Complutense de Madrid
  • Julia Amador

    Universidad Complutense de Madrid
  • Lucía Silvia Inglada Pérez

    Universidad Complutense de Madrid
  • María Jesús López

    Universidad Complutense de Madrid
  • Narayanaswamy Balakrishnan

    McMaster University
  • Rosa Alonso

    Universidad Complutense de Madrid
  • Rosario Susi

    Universidad Complutense de Madrid
  • Silvia Pineda

    Universidad Complutense de Madrid
  • Teresa Pérez

    Universidad Complutense de Madrid
  • Ying Lu

    University of Stanford