M
+34 946 567 842
F
+34 946 567 842
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iarostegui@bcamath.org
Information of interest
- Orcid: 0000-0002-6848-2240
Inmaculada Arostegui received the B.S. degree in Mathematics from the University of the Basque Country UPV/EHU, the Master of Health Science in Biostatistics from the Johns Hopkins University at Baltimore, Maryland, and the Ph.D. in Science, Mathematics specialty, from the University of the Basque Country UPV/EHU.
She is a Full Professor of the Department of Applied Mathematics and Statistics and Operational Research at the School of Science and Technology and the team leader of the "Biostatistics Research Group". Her main research interest is focused on statistical methodology in biomedical and experimental research. Specific topics of interest are the development and validation of prediction models, modelling patient reported outcomes (such as health status, health related quality of life, functional dependence, satisfaction, ...), longitudinal data analysis and risk stratification. She works in Clinical Epidemiology in collaboration with the Clinical Research Unit of the Galdakao-Usansolo University Hospital and also in Toxicology, Genetics and Ecology in collaboration with several research groups at the School of Science and Technology. She has published over 75 scientific articles in experimental and medical research fields.
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Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia
Bronte Moreno, O.; García, F.
; Lee, D.J.; Urrutia Landa, I.; Uranga Echeverria, A.; Nieves Ermecheo, M.; Martínez-Minaya, J.; Quintana, J.M.; Arostegui, I.; Zalacain Jorge, R.; Ruiz Iturriaga, L.A.; Serrano Fernández, L.; Menéndez Villanueva, R.; Méndez Ocaña, R.; Torres Marti, A.; Cillóniz, C.; España Yandiola, P.P. (2023-06)
The relationship between exposure to air pollution and the severity of coronavirus disease 2019 (COVID-19) pneumonia and other outcomes is poorly understood. Beyond age and comorbidity, risk factors for adverse outcomes ...
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Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks
García, F.; Lee, D.J.; Mendoza-Garcés, F. J.; Irigoyen-Miró, S.; Legarreta-Olabarrieta, M. J.; García-Gutiérrez, S.; Arostegui, I. (2023-04)
Background:A reliable anticipation of a difficult airway may notably enhance safety during anaesthesia. In current practice, clinicians use bedside screenings by manual measurements of patients’ morphology. Objective:To ...
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Variable selection with LASSO regression for complex survey data
Iparragirre, A.; Lumely, T.; Barrio, I.; Arostegui, I. (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 ...
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Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques
Hayet-Otero, M.; García, F.; Lee, D.J.; Martínez-Minaya, J.; España Yandiola, P.P.; Urrutia Landa, I.; Nieves Ermecheo, M.; Quintana, J.M.; Menéndez, R.; Torres, A.; Zalacain Jorge, R.; Arostegui, I. (2023)
With the COVID-19 pandemic having caused unprecedented numbers of infections and deaths, large research efforts have been undertaken to increase our understanding of the disease and the factors which determine diverse ...
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Estimation of cut-off points under complex-sampling design data
Iparragirre, A.; Barrio, I.; Aramendi, J.; Arostegui, I. (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 ...
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Impacto cuantitativo de la contaminación en la probabilidad de muerte por neumonía por SARS-CoV-2
Bronte Moreno, O.; Urrutia Landa, I.; Martínez-Minaya, J.; García, F.; Lee, D.J.; Jódar Samper, A.; García Hontoria, P.; Arostegui, I.; Artaraz Ereño, A.; Menéndez Villanueva, R.; Méndez Ocaña, R.; Torres Marti, A.; Cillóniz, C.; Zalacain Jorge, R.; Ruiz Iturriaga, L.A.; Serrano Fernández, L.; España Yandiola, P.P. (2021-11)
Introducción La evidencia científica disponible señala que la contaminación del aire exterior podría agravar la severidad de la COVID-19 y por ende, incrementar las probabilidades de fallecimiento. Material y métodos Estudio ...
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Predicción de la gravedad de neumonías por SARS-CoV-2 a partir de información clínica y contaminación, mediante inteligencia artificial
Bronte Moreno, O.; Urrutia Landa, I.; García, F.; Martínez-Minaya, J.; Uranga Echeverria, A.; Lee, D.J.; García Hontoria, P.; Jódar Samper, A.; Arostegui, I.; Menéndez Villanueva, R.; Méndez Ocaña, R.; Torres Marti, A.; Cillóniz, C.; Zalacain Jorge, R.; Ruiz Aldaiturriaga, L.A.; Serrano Fernández, L.; España Yandiola, P.P. (2021-11)
Introducción La contaminación del aire exterior se ha relacionado con mayor gravedad de las infecciones respiratorias. Por tanto, su inclusión en algoritmos predictivos podrían añadir información para pronosticar la ...
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Selecting the number of categories of the lymph node ratio in cancer research: A bootstrap-based hypothesis test
Barrio, I.; Roca-Pardiñas, J.; Arostegui, I. (2021)
The high impact of the lymph node ratio as a prognostic factor is widely established in colorectal cancer, and is being used as a categorized predictor variable in several studies. However, the cut-off points as well as ...
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Predictive factors over time of health-related quality of life in chronic obstructive pulmonary disease patients
Esteban, C.; Arostegui, I.; Aramburu, A.; Moraza, J.; Najera-Zuloaga, J.; Aburto, M.; Aizpiri, S.; Chascó, L.; Quintana, J.M. (2020-01)
Background: Health-related quality of life (HRQoL) should be seen as a tool that provides an overall view of the general clinical condition of a COPD patient. The aims of this study were to identify variables associated ...
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Anxiety and depressive symptoms are related to core symptoms, general helath outcome and medical comorbidities in eating disorders
Martin, J.; Arostegui, I.; Loroño, A.; Padierna, A.; Najera-Zuloaga, J.; Quintana, J.M. (2019-04)
Objective: The goal of this study is to identify potential factors that have a significant effect on anxiety and depression of patients with eating disorders (ED) using the beta-binomial regression (BBR) approach on a broad ...
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Robust combination of the Morris and Sobol methods in complex multidimensional models
Garcia, D.; Arostegui, I.; Prellezo, R. (2019)
Conducting global sensitivity analysis using variance decomposition methods in complex simulation models with many input factors is usually unaffordable. An alternative is to first apply a screening method to reduce the ...
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COPD classification models and mortality prediction capacity
Aramburu, A.; Arostegui, I.; Moraza, J.; Barrio, I.; Aburto, M.; García-Loizaga, A.; Uranga, A.; 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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A beta-binomial mixed-effects model approach for analysing longitudinal discrete and bounded outcomes
Najera-Zuloaga, J.; Lee, D.J.; Arostegui, I. (2018-05)
Patient-reported outcomes (PROs) are currently being increasingly used as primary outcome measures in observational and experimental studies since they inform clinicians and researchers about the health-status of patients ...
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Combining statistical techniques to predict post-surgical risk of 1-year mortality for patients with colon cancer
Arostegui, I.; Gonzalez, N.; Fernandez-de-Larrea, N.; Lazaro, S.; Bare, M.; Redondo, M.; Sarasqueta, C.; García-Gutierrez, S.; Quintana, J.M.; REDISSEC-CARESS/CCR Group (2018-03-06)
Introduction: Colorectal cancer is one of the most frequently diagnosed malignancies and a common cause of cancer-related mortality. The aim of this study was to develop and validate a clinical predictive model for1-year ...
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A Computer Application to Predict Adverse Events in the Short-Term Evolution of Patients With Exacerbation of Chronic Obstructive Pulmonary Disease
Arostegui, I.; Legarreta Maria, J.; Barrio, I.; Esteban, C.; Garcia-Gutierrez, S.; Quintana, J.M.; IRYSS-COPD Group; Aguirre, U. (2018)
Background: Chronic obstructive pulmonary disease (COPD) is a common chronic disease. Exacerbations of COPD (eCOPD) contribute to the worsening of the disease and the patient’s evolution. There are some clinical prediction ...
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Predictors of one and two years’ mortality in patients with colon cancer: a prospective cohort study
Quintana, J.M.; González, N.; Lazaro, S.; Bare, M.; Fernandez-de-Larrea, N.; Redondo, M.; Briones, E.; Escobar, A.; Sarasqueta, C.; García-Gutierrez, S.; Antón-Ladislao, A.; Arostegui, I. (2018)
Tools to aid in the prognosis assessment of colon cancer patients in terms of risk of mortality are needed. Goals of this study are to develop and validate clinical prediction rules for 1-and 2-year mortality in these ...
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Sample size impact on the categorisation of continuous variables in clinical prediction
Barrio, I.; Arostegui, I.; Rodríguez-Álvarez, M.X. (2017-12)
Recent advances in information technologies are generating a growth in the amount of available biomedical data. In this paper, we studied the impact sample size may have on the categorisation of a continuous predictor ...
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A new approach to categorize continuous variables in prediction models: Proposal and validation
Barrio, I.; Arostegui, I.; Rodríguez-Álvarez, M.X.; Quintana, J.M. (2017-12)
When developing prediction models for application in clinical practice, health practitioners usually categorise clinical variables that are continuous in nature. Although categorisation is not regarded as advisable from ...
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Comparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studies
Barrio, I.; Rodríguez-Álvarez, M.X.; Meira-Machado, L.; Esteban, C.; Arostegui, I. (2017-04)
The Cox proportional hazards model is the most widely used survival prediction model for analysing timeto-event data. To measure the discrimination ability of a survival model the concordance probability index is widely ...
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Acute toxicity, bioaccumulation and effects of dietary 1 transfer of silver from brine 2 shrimps exposed to PVP/PEI-coated silver nanoparticles to zebrafish
Lacave, J.M.; Fanjul, A.; Bilbao, E.; Gutierrez, N.; Barrio, I.; Arostegui, I.; Cajaraville, M.P.; Orbea, A. (2017-03-18)
The extensive use and release to the aquatic environment of silver nanoparticles (NPs) could lead to their incorporation into the food web. Brine shrimp larvae of 24 h showed low sensitivity to the exposure to PVP/PEI-coated ...
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Comparison of beta-binomial regression model approaches to analyze health related quality of life data
Najera-Zuloaga, J.; Lee, D.J.; Arostegui, I. (2017-01-05)
Health related quality of life (HRQoL) has become an increasingly important indicator of health status in clinical trials and epidemiological research. Moreover, the study of the relationship of HRQoL with patients' and ...
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Chronic obstructive pulmonary disease subtypes. transitions over time
Esteban, C.; Arostegui, I.; Aburto, M.; Moraza, J.; Quintana, J.M.; García-Loizaga, A.; Basualdo, L.V.; Aramburu, A.; Aizpiri, S.; Uranga, A.; Capelastegui, A. (2016-10-30)
Background Although subtypes of chronic obstructive pulmonary disease are recognized, it is unknown what happens to these subtypes over time. Our objectives were to assess the stability of cluster-based subtypes in patients ...
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Effect of various dietary regimens on oral challenge with Mycobacterium avium subsp. paratuberculosis in a rabbit model
Arrazuria, R.; Molina, E.; Mateo-Abad, M.; Arostegui, I.; Garrido, J.M.; Juste, R.A.; Elguezabal, N. (2015-12-31)
Rabbits are susceptible to infection by Mycobacterium avium subspecies paratuberculosis (MAP) in both wildlife and experimental conditions. Under the hypotheses that nutrient balance might influence the establishment of ...
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A decision tree to assess short-term mortality after an emergency department visit for an exacerbation of COPD: A cohort study
Esteban, C.; Arostegui, I.; Garcia-Gutierrez, S.; Gonzalez, N.; Lafuente, I.; Bare, M.; Fernandez-de-Larrea, N.; Rivas, F.; Quintana, J.M. (2015-12-31)
Background: Creating an easy-to-use instrument to identify predictors of short-term (30/60-day) mortality after an exacerbation of chronic obstructive pulmonary disease (eCOPD) could help clinicians choose specific measures ...