People

Full Prof. M.C. Pardo

Leader of the Bioestatistics Research Group . She is a leading expert in developing and applying advanced statistical methods, particularly in the areas of surrogate endpoint validation, survival analysis, statistical evaluation of biomarkers and diagnostic tests and the design of adaptive clinical trials.

Prof. T. Pérez

Expert in joint models integrating longitudinal and survival data, she combines methodological development with applied research to address key challenges in modern clinical research. Her work focuses on complex clinical trial designs, including target trial emulation using causal inference approaches.

Prof. A.M. Franco-Pereira

Expert in diagnostic and classification methods, with a strong methodological background in statistical inference and survival analysis. Her research focuses on the theory and application of ROC curve analysis, developing novel summary measures to assess the performance of biomarkers and diagnostic tests, with applications in biostatistics and reliability.

P.W. Prof. D. Lora

Senior biostatistician with extensive applied experience from over 20 years in the clinical trial unit of the Hospital 12 de Octubre. He is a specialist in the practical design, analysis, and implementation of adaptive clinical trials, providing a crucial bridge between advanced statistical methodology and real-world clinical research.

A. Prof. M. Fenoy

Specialist in the development of advanced statistical models for survival data, with a particular focus on cure models. Her research incorporates frailty terms and interval-censored data to provide robust tools for analyzing complex time-to-event outcomes in biomedical studies. 

A. Prof. R. Alonso

Specialist in the development and application of biostatistical methods for the analysis of longitudinal data, ROC curves, and diagnostic accuracy measures, with a particular interest in statistical learning and data mining in biomedical research. 

C. J. Salaroli

PhD student conducting doctoral research on biomarkers combination and selection in high-dimensional data, including the development of associated software.

G. Deliorman

PhD student conducting doctoral research on evaluating surrogate endpoints using a causal inference and information theory framework, including the development of associated software.

A. Alcaraz-Peñalba

PhD student conducting doctoral research on cure models, with a special emphasis on prediction assessment of the cure fraction, including the development of associated software. 

A.D. Anton

PhD student conducting doctoral research on ROC Analysis using machine learning, including the development of associated software.