Applied Statistics
Browse by
Recent Submissions
-
Simulation approach for assessing the performance of the γEWMA control chart
(2021-02-22)i) Purpose: The purpose of this paper is to evaluate the performance of a modified EWMA control chart ($\gamma$EWMA control chart), which considers data distribution and incorporate its correlation structure, simulating ... -
Altered effective connectivity in sensorimotor cortices: a novel signature of severity and clinical course in depression
(2021)Functional neuroimaging research on depression has traditionally targeted neural networks associated with the psychological aspects of depression. In this study, instead, we focus on alterations of sensorimotor function ... -
From habitat to management: a simulation framework for improving statistical methods in fisheries science
(2021-07-07)Monte Carlo simulation consists of computer experiments that involve creating data by pseudo-random sampling and has shown to be a powerful tool for studying the performance of statistical methods. In this thesis Monte ... -
Optimal experimental design for cytogenetic dose-response calibration curves
(2019)Purpose: To introduce optimal experimental design techniques in the cytogenetic biological dosimetry practice. This includes the development of a new optimality criterion for the calibration of radiation doses. Materials ... -
Spatial Bayesian Modeling Applied to the Surveys of Xylella fastidiosa in Alicante (Spain) and Apulia (Italy)
Cendoya, M.; Martínez-Minaya, J.
; Dalmau, V.; Ferrer, A.; Saponari, M.; Conesa, D.; López-Quílez, A.; Vicent, A. (2020)
The plant-pathogenic bacterium Xylella fastidiosa was first reported in Europe in 2013, in the province of Lecce, Italy, where extensive areas were affected by the olive quick decline syndrome, caused by the subsp. pauca. ... -
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, ... -
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 ... -
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 ... -
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 ... -
Bayesian hierarchical modelling of growth curve derivatives via sequences of quotient differences
Page, G.L.; Rodríguez-Álvarez, M.X.; Lee, D.-J. (2020-01)
Growth curve studies are typically conducted to evaluate differences between group or treatment-specific curves. Most analyses focus solely on the growth curves, but it has been argued that the derivative of growth curves ... -
idmTPreg: Regression Model for Progressive Illness Death Data
(2018-12-01)The progressive illness-death model is frequently used in medical applications. For example, the model may be used to describe the disease process in cancer studies. We have developed a new R package called idmTPreg to ... -
A General Framework for Prediction in Generalized Additive Models
(2020-01-13)Smoothing techniques have become one of the most popular modelling approaches in the unidimensional and multidimensional setting. However, out-of-sample prediction in the context of smoothing models is still an open problem ... -
Modelling species presence–absence in the ecological niche theory framework using shape-constrained generalized additive models
Citores, L.; Ibaibarriaga, L.; Lee, D.-J.; Brewer, M.J.; Santos, M.; Chust, G. (2020-01-13)
According to ecological niche theory, species response curves are unimodal with respect to environmental gradients. A variety of statistical methods have been developed for species distribution modelling. A general problem ... -
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 ... -
Poisson excess relative risk models: New implementations and software
(2019-03-01)Two new implementations for fitting Poisson excess relative risk methods are proposed for assumed simple models. This allows for estimation of the excess relative risk associated with a unique exposure, where the background ... -
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 ... -
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 ... -
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 ... -
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 ... -
A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay
(2018-11-28)Over the last decade, the γ–H2AX focus assay, which exploits the phosphorylation of the H2AX histone following DNA double–strand–breaks, has made considerable progress towards acceptance as a reliable biomarker for exposure ...
RSS 1.0