Browsing Applied Statistics by Title
Now showing items 10-29 of 71
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Cancer incidence among children and young adults who have undergone x-ray guided cardiac catheterization procedures
(2018-01-18)Children and young adults with heart disease appear to be at increased risk of developing cancer, although the reasons for this are unclear. A cohort of 11,270 individuals, who underwent cardiac catheterizations while aged ... -
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 Frequentist and Bayesian Meta-Analysis Models for Assessing the Efficacy of Decision Support Systems in Reducing Fungal Disease Incidence
Lázaro, E.; Makowski, D.; Martínez-Minaya, J.; Vicent, A. (2020)
Diseases of fruit and foliage caused by fungi and oomycetes are generally controlled by the application of fungicides. The use of decision support systems (DSSs) may assist to optimize fungicide programs to enhance application ... -
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 ... -
Correcting for spatial heterogeneity in plant breeding experiments with P-splines
Rodríguez-Álvarez, M.X.; Boer, M.P.; van Eeuwijk, F.A.; Eilers, P.H.C. (2017-10-27)
An important aim of the analysis of agricultural field experiments is to obtain good predictions for genotypic performance, by correcting for spatial effects. In practice these corrections turn out to be complicated, since ... -
Desarrollo de sistema de Machine Learning para la prediccion de vía aérea a partir de imagen facial con dispositivo movil
Mendoza Garcés, F.; Irigoyen Miró, S.; García, F.; González, J.; García, S.; Telletxea, S. (2022-04)
El manejo de una vía aérea difícil (VAD) representa aún una causa importante de lesiones relacionadas con la anestesia, cuyas complicaciones son potencialmente mortales. El notable interés en la predicción de VAD ha provocado ... -
Development of machine learning system for airway prediction from facial image with mobile device
Mendoza Garcés, F.; García, F.; García, S.; García, B.; Vargas, J.; Lee, D.-J. (2022-06)
Goals: A reliable prognostic tool for a difficult airway (DA) may enhance patients’ safety during orotracheal intubation by decreasing unanticipated DAs. We aim to examine the applicability of an Artificial Intelligence-Deep ... -
Dicentric dose estimates for patients undergoing radiotherapy in the RTGene study to assess blood dosimetric models and the new Bayesian method for gradient exposure
(2018-06-01)The RTGene study was focused on the development and validation of new transcriptional biomarkers for prediction of individual radiotherapy (RT) patient responses to ionising radiation (IR). In parallel, for validation ... -
Disease progression of peach powdery mildew in Catalonia, Spain – Towards a decision support system based on degree-days to initiate fungicide spray programs
Marimon, N.; Eduardo, I.; Martínez-Minaya, J.; Vicent, A.; Luque, J. (2020)
The incidence of peach powdery mildew (PPM) on fruit was monitored in commercial peach orchards to i) describe the disease progress in relation to several environmental parameters and ii) establish an operating threshold ... -
Ecological, genetic and evolutionary drivers of regional genetic differentiation in Arabidopsis thaliana
Castilla, A.R.; Méndez-Vigo, B.; Marcer, A.; Martínez-Minaya, J.; Conesa, D.; Picó, F.X.; Alonso-Blanco, A. (2020)
Background: Disentangling the drivers of genetic differentiation is one of the cornerstones in evolution. This is because genetic diversity, and the way in which it is partitioned within and among populations across space, ... -
Effect of trampling and digging from shell shing on Zostera noltei (Zosteraceae) intertidal seagrass beds
Garmendia, J.M.; Valle, M.; Borja, A.; Chust, G.; Lee, D.-J.; Rodríguez, J.G.; Franco, J. (2017-03)
Seagrass beds are among the most valuable ecosystems in the world but they are also among the ones most affected by human activities, and they have decreased significantly in recent decades. In many areas, such as in the ... -
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 ... -
An exact goodness-of-fit test based on the occupancy problems to study zero-inflation and zero-deflation in biological dosimetry data
(2018-01-12)The goal in biological dosimetry is to estimate the dose of radiation that a suspected irradiated individual has received. For that, the analysis of aberrations (most commonly dicentric chromosome aberrations) in scored ... -
Fast algorithm for smoothing parameter selection in multidimensional P-splines
Rodríguez-Álvarez, M.X.; Lee, D.-J.; Kneib, T.; Durban, M.; Eilers, P.H.C. (2015-12-31)
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalized spline generalized model with anisotropic penalty is presented. This new proposal is based on the mixed model representation ... -
Fast estimation of multidimensional adaptive P-spline models
Rodríguez-Álvarez, M.X.; Durban, M.; Lee, D.-J.; Eilers, P.H.C. (2016-10-21)
A fast and stable algorithm for estimating multidimensional adaptive P-spline models is presented. We call it as Separation of Overlapping Penalties (SOP) as it is an extension of the Separation of Anisotropic Penalties ... -
Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm
Rodríguez-Álvarez, M.X.; Lee, D.-J.; Kneib, T.; Durban, M.; Eilers, P.H.C. (2014-12-31)
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalized spline generalized linear model with anisotropic penalty is presented. This new proposal is based on the mixed model ...