Facultade de Fisioterapia

Flexible statistical inference: methodological advances and new applications in Biomedicine, Engineering, and Health

Research Area

Basic Research

Start Date


End date




Project leaders

de Uña-Álvarez, Jacobo


de Uña-Álvarez, Jacobo; Pardo Fernández, Juan Carlos; Liang, Han-Ying; Iglesias Pérez, María del Carmen; Roca Pardiñas, Javier; Saavedra, A.; Cotos Yáñez, Tomás R.; Moreira, Carla; Martínez Camblor, Pablo; Franco Pereira, Alba; Rodríguez Girondo, Mar; Sestelo Pérez, Marta; Amorim, Ana Paula; Mendonça, J.


The focus of this project is on the development of nonparametric and semiparametric (i.e., flexible) statistical methods for estimation and testing problems. Covered topics include: survival analysis, multi-state models, censored and truncated data, length-bias, location-scale models, ROC curves, variable selection, k-sample tests, high-dimensional hypotheses testing, dependent data, reliability, significance on derivatives and change points, bootstrap methods, sampling theory in nonstandard settings, spatial data, GAMs, copula functions, or missing data. Applications include: biology, biomedicine, health, economics, finance, engineering, environmental sciences, or sports. The wideness of the project is a consequence of the size of the group (10 Ph. D.) and its strong background in mathematical statistics and experience in applications and transfer of knowledge, specially to the biomedical area. Indeed, collaboration with medical centers such as the Hospital Universitario Central de Asturias (HUCA, Oviedo), the Complexo Hospitalario de Vigo (CHUVI, Vigo), the Complexo Hospitalario de Ourense (CHOU, Ourense), and the Portuguese Institute of Oncology (IPO, Porto) is planned. Also, in the analysis of the dynamics and the exploitation of marine populations, we will collaborate with CETMAR (Centro Tecnológico del Mar, Vigo), Centro Oceanográfico de Vigo (IEO), and the Instituto de Hidráulica Ambiental at the University of Cantabria (Santander).