About us

Led by Professor María del Carmen Pardo.

The Biostatistics group [B_CRG], Research Group 962004 from the Universidad Complutense de Madrid (UCM), is comprised of a team of professors and researchers primarily from the Faculty of Mathematical Sciences and the Faculty of Statistical Studies at UCM, with its headquarters at this university.

The group has a strong interdisciplinary character and integrates statistical and mathematical solutions into different environments to apply them to a wide range of problems in health sciences and biomedicine. The research focuses on the methodological development, evaluation, and implementation of statistical methods to improve the design and analysis of clinical trials, with a special emphasis on adaptive clinical trials. Areas of application include the evaluation of biomarkers and surrogate endpoints, survival analysis, personalized medicine, and medical diagnosis. Core research topics are the assessment of the diagnostic capacity of biomarkers using ROC curves, the development of joint longitudinal-survival models for adaptive trials, and the generalization of survival and cure models. The group develops and implements innovative statistical solutions for the challenges of clinical and translational research.

As part of its activities, the group collaborates with healthcare institutions such as the 12 de Octubre Hospital (through its i+12 research institute) and is a node of the national BioStatNet research network. At an international level, it maintains collaborations with prestigious universities and research centers such as the RCSI University of Medicine and Health Sciences (Ireland), Stanford University (USA), McMaster University (Canada), and the Biostatistics Centre of KU Leuven (Belgium), University of Haifa (Israel), University of Thessaly (Greece), among others.

In addition to its scientific activities, the group plays a significant role in training through the supervision of doctoral theses within doctoral programs such as Mathematical Engineering, Statistics and Operations Research (IMEIO) and contributes to knowledge transfer through the development of statistical software packages in R available to the scientific community.