Browsing Applied Statistics by Title
Now showing items 33-52 of 71
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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 ... -
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 ... -
Package wsbackfit for Smooth Backfitting Estimation of Generalized Structured Models
Roca-Pardinas, J.; Rodríguez-Álvarez, M.X.; Sperlich, S. (2021-01-01)
A package is introduced that provides the weighted smooth backfitting estimator for a large family of popular semiparametric regression models. This family is known as generalized structured models, comprising, for example, ... -
Penalized composite link mixed models for two-dimensional count data
Ayma, D.; Durban, M.; Lee, D.-J.; Eilers, P.H.C. (2015-05)
Mortality data provide valuable information for the study of the spatial distribution of mortality risk, in disciplines such as spatial epidemiology, medical demography, and public health. However, they are often available ... -
Penalized composite link models for aggregated spatial count data: a mixed model approach
Ayma, D.; Durban, M.; Lee, D.-J.; Eilers, P.H.C. (2016-01-01)
Mortality data provide valuable information for the study of the spatial distri- bution of mortality risk, in disciplines such as spatial epidemiology and public health. However, they are frequently available in an aggregated ... -
Phenomics data processing: A plot-level model for repeated measurements to extract the timing of key stages and quantities at defined time points
Roth, L.; Van Eeuwijk, F.; Rodríguez-Álvarez, M.X.; Hans-Peter, P.; Hund, A. (2021)
Decision-making in breeding increasingly depends on the ability to capture and predict crop responses to changing environmental factors. Advances in crop modeling as well as high-throughput eld phenotyping (HTFP) hold ... -
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 ... -
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 ... -
Predicting Pregnancy Outcomes Using Longitudinal Information: A Penalized Splines Mixed–Effects Model Approach
De la Cruz, R.; Fuentes, C.; Meza, C.; Lee, D.-J.; Arribas-Gil, A. (2017-02-09)
We propose a semiparametric mixed–effects model (SNMM) using penalized splines to clas- sify longitudinal data and improve the prediction of a binary outcome. The work is motivated by a study in which different hormone ... -
Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models
Zumeta, L.; Weigert, M.; Larruskain, J.; Bikandi, E.; Setuain, I.; Lekue, J.; Küchenhoff, H.; Lee, D.-J. (2021-11-20)
Data-based methods and statistical models are given special attention to the study of sports injuries to gain in-depth understanding of its risk factors and mechanisms. The objective of this work is to evaluate the use of ... -
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 ...