Browsing Applied Statistics by Title
Now showing items 23-42 of 71
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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 ... -
Flexible geostatistical modeling and risk assessment analysis of lead concentration levels of residential soil in the Coeur D'Alene River Basin
Lee, D.-J.; Toscas, P. (2015-12-31)
Soil heavy metals pollution is an urgent problem worldwide. Understanding the spatial distribution of pollutants is critical for environmental management and decision-making. Children and adults are still routinely exposed ... -
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 ... -
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 ... -
Hierarchical modelling of patient-reported outcomes data based on the beta-binomial distribution
(2017-12-13)The beta-binomial distribution does not belong to the exponential family and, hence classical regression techniques cannot be used when dealing with outcomes following the mentioned distribution. In this thesis we propose ... -
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 ... -
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 ... -
Modeling latent spatio-temporal disease incidence using penalized composite link models
Lee, D.-J.; Durban, M.; Ayma, D.; Van de Kassteele, J. (2022-03-10)
Epidemiological data are frequently recorded at coarse spatio-temporal resolutions to protect confidential information or to summarize it in a compact manner. However, the detailed patterns followed by the source data, ... -
Modelling latent trends from spatio-temporally grouped data using composite link mixed models
Ayma, D.; Durban, M.; Lee, D.-J.; Van de Kasstele, J. (2016-07)
Epidemiological data are frequently recorded at coarse spatio-temporal resolutions. The aggregation process is done for several reasons: to protect confidential patients' information, to compare with other datasets at a ... -
Modelling spatial trends in sorghum breeding field trials using a two-dimensional P-spline mixed model
Velazco, J.G.; Rodríguez-Álvarez, M.X.; Boer, M.P.; Jordan, D.R.; Eilers, P.H.C.; Malosetti, M.; van Eeuwijk, F. (2017-04-03)
Adjustment for spatial trends in plant breeding field trials is essential for efficient evaluation and selection of genotypes. Current mixed model methods of spatial analysis are based on a multi-step modelling process ... -
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 ... -
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 ... -
A note on Poisson goodness-of-fit tests for ionizing radiation induced chromosomal aberration samples
(2018-06-13)Purpose: To present Poisson exact goodness-of-fit tests as alternatives and complements to the asymptotic u-test, which is the most widely used in cytogenetic biodosimetry, to decide whether a sample of chromosomal aberrations ... -
On the estimation of variance parameters in non-standard generalised linear mixed models: Application to penalised smoothing
Rodríguez-Álvarez, M.X.; Durban, M.; Lee, D.-J.; Eilers, P.H.C. (2018-01-24)
We present a novel method for the estimation of variance parameters in generalised linear mixed models. The method has its roots in Harville (1977)'s work, but it is able to deal with models that have a precision matrix ...