Browsing Applied Statistics by Author "Arostegui, I."
Now showing items 1-18 of 18
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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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...