Browsing Applied Statistics by Issue Date
Now showing items 1-20 of 74
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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 ... -
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 ... -
Spatio-temporal functional data analysis for wireless sensor networks data
Lee, D.-J.; Zhu, Z.; Toscas, P. (2015-05-05)
A new methodology is proposed for the analysis, modeling, and forecasting of data collected from a wireless sensor network. Our approach is considered in the framework of a functional data-analysis paradigm where observed ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Bootstrap-based procedures for inference in nonparametric ROC regression analysis
Rodríguez-Álvarez, M.X.; Roca-Pardiñas, J.; Cadarso-Suárez, C.; Tahoces, P.G. (2016-06-30)
Before the use of a diagnostic test in a routine clinical setting, the rigorous evaluation of its diagnostic accuracy is an essential step. The receiver operating characteristic (ROC) curve is the measure of accuracy most ... -
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 ... -
Spatial Models for Field Trials
Rodríguez-Álvarez, M.X.; Boer, M.P.; Eeuwijk, F.; Eilers, P.H.C. (2016-09-01)
An important aim of the analysis of agricultural field trials is to obtain good predictions for genotypic performance, by correcting for spatial effects. In practice these corrections turn out to be complicated, since there ... -
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 ... -
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 ... -
Smooth additive mixed models for predicting aboveground biomass
Sánchez-González, M.; Durban, M.; Lee, D.-J.; Cañellas, I.; Sixto, H. (2016-12-01)
Aboveground biomass estimation in short-rotation forestry plantations is an essential step in the development of crop management strategies as well as allowing the economic viability of the crop to be determined prior to ... -
Spatio-temporal adaptive penalized splines with application to Neuroscience
Rodríguez-Álvarez, M.X.; Durban, M.; Lee, D.-J.; Eilers, P.H.C.; Gonzalez, F (2016-12-30)
Data analysed here derive from experiments conducted to study neurons' activity in the visual cortex of behaving monkeys. We consider a spatio-temporal adaptive penalized spline (P-spline) approach for modelling the firing ... -
Bootstrap-based procedures for inference in nonparametric receiver-operating characteristic curve regression analysis
Rodríguez-Álvarez, M.X.; Roca-Pardiñas, J.; Cadarso-Suárez, C.; Tahoces, P.G. (2017)
Prior to using a diagnostic test in a routine clinical setting, the rigorous evaluation of its diagnostic accuracy is essential. The receiver-operating characteristic curve is the measure of accuracy most widely used for ... -
Time-varying coefficient estimation in SURE models. Application to portfolio management.
(2017-01-01)This paper provides a detailed analysis of the asymptotic properties of a kernel estimator for a Seemingly Unrelated Regression Equations model with time-varying coefficients (tv-SURE) under very general conditions. ... -
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 ... -
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 ... -
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 ...