Irantzu Barrio Beraza

BCAM Researcher

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Information of interest

Irantzu Barrio is an associate professor at the Department of Mathematics of the University of the Basque Country UPV/EHU. She obtained at the same university the degree in Mathematics in 2006 and the master's degree in Mathematical Modeling, Statistics and Computation in 2010. In 2015 she obtained her PhD degree in Mathematics from the University of the Basque Country. Her main research interests focus on the development of statistical methodology oriented to the resolution of complexities derived from scientific research, mainly in biomedical or experimental areas. Specific topics of interest are the development and validation of prediction models. She works in Clinical Epidemiology in collaboration with the Clinical Research Unit of the Galdakao Usansolo University Hospital, and also provides methodological support to researchers within the Faculty of Science and Technology of the UPV/EHU as well as to public or private companies and research centers of the Basque Country.

  • Relevance of comorbidities for main outcomes during different periods of the COVID-19 pandemic 

    Quintana, J.M.; Rodriguez Idiazabal, L.Autoridad BCAM; Portuondo-Jimenez, J.; García, Julia; Legarreta-Olabarrieta, M. J.; Gascon, M; Larrea, N.Autoridad BCAM; Barrio, I.Autoridad BCAM (2024-01-01)
    Background: Throughout the evolution of the COVID-19 pandemic, the severity of the disease has varied. The aim of this study was to determine how patients' comorbidities affected and were related to, different outcomes ...
  • Five-year follow-up mortality prognostic index for colorectal patients 

    Orive, M.; Barrio, I.Autoridad BCAM; Lazaro, S.; Gonzalez, N.; Bare, M.; Fernandez-de-Larrea, N.; Cortajarena, S.; Bilbao, A.; Aguirre, U.; Quintana, J.M. (2023)
    Purpose: To identify 5-year survival prognostic variables in patients with colorectal cancer (CRC) and to propose a survival prognostic score that also takes into account changes over time in the patient's health-related ...
  • Variable selection with LASSO regression for complex survey data 

    Iparragirre, A.; Lumely, T.; Barrio, I.Autoridad BCAM; Arostegui, I.Autoridad BCAM (2023)
    Variable selection is an important step to end up with good prediction models. LASSO regression models are one of the most commonly used methods for this purpose, for which cross-validation is the most widely applied ...
  • Estimation of cut-off points under complex-sampling design data 

    Iparragirre, A.; Barrio, I.Autoridad BCAM; Aramendi, J.; Arostegui, I.Autoridad BCAM (2022)
    In the context of logistic regression models, a cut-off point is usually selected to dichotomize the estimated predicted probabilities based on the model. The techniques proposed to estimate optimal cut-off points in the ...
  • COPD classification models and mortality prediction capacity 

    Aramburu, A.; Arostegui, I.Autoridad BCAM; Moraza, J.; Barrio, I.Autoridad BCAM; Aburto, M.; García-Loizaga, A.; Uranga, A.Autoridad BCAM; Zabala, T.; Quintana, J.M.; Esteban, C. (2019)
    Our aim was to assess the impact of comorbidities on existing COPD prognosis scores. Patients and methods: A total of 543 patients with COPD (FEV1 < 80% and FEV1/ FVC <70%) were included between January 2003 and January ...

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