Zerrendatu Applied Statistics honen arabera: argitalpen data
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Fast smoothing parameter separation in multidimensional generalized Psplines: the SAP algorithm
(20141231)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 twodimensional count data
(201505)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 ... 
Spatiotemporal functional data analysis for wireless sensor networks data
(20150505)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 dataanalysis paradigm where observed ... 
Flexible geostatistical modeling and risk assessment analysis of lead concentration levels of residential soil in the Coeur D'Alene River Basin
(20151231)Soil heavy metals pollution is an urgent problem worldwide. Understanding the spatial distribution of pollutants is critical for environmental management and decisionmaking. Children and adults are still routinely exposed ... 
A decision tree to assess shortterm mortality after an emergency department visit for an exacerbation of COPD: A cohort study
(20151231)Background: Creating an easytouse instrument to identify predictors of shortterm (30/60day) mortality after an exacerbation of chronic obstructive pulmonary disease (eCOPD) could help clinicians choose specific measures ... 
Effect of various dietary regimens on oral challenge with Mycobacterium avium subsp. paratuberculosis in a rabbit model
(20151231)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 ... 
Fast algorithm for smoothing parameter selection in multidimensional Psplines
(20151231)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
(20160101)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 ... 
Bootstrapbased procedures for inference in nonparametric ROC regression analysis
(20160630)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 spatiotemporally grouped data using composite link mixed models
(201607)Epidemiological data are frequently recorded at coarse spatiotemporal 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
(20160901)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 Pspline models
(20161021)A fast and stable algorithm for estimating multidimensional adaptive Pspline 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
(20161030)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 clusterbased subtypes in patients ... 
Smooth additive mixed models for predicting aboveground biomass
(20161201)Aboveground biomass estimation in shortrotation 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 ... 
Spatiotemporal adaptive penalized splines with application to Neuroscience
(20161230)Data analysed here derive from experiments conducted to study neurons' activity in the visual cortex of behaving monkeys. We consider a spatiotemporal adaptive penalized spline (Pspline) approach for modelling the firing ... 
Bootstrapbased procedures for inference in nonparametric receiveroperating characteristic curve regression analysis
(2017)Prior to using a diagnostic test in a routine clinical setting, the rigorous evaluation of its diagnostic accuracy is essential. The receiveroperating characteristic curve is the measure of accuracy most widely used for ... 
Timevarying coefficient estimation in SURE models. Application to portfolio management.
(20170101)This paper provides a detailed analysis of the asymptotic properties of a kernel estimator for a Seemingly Unrelated Regression Equations model with timevarying coefficients (tvSURE) under very general conditions. ... 
Comparison of betabinomial regression model approaches to analyze health related quality of life data
(20170105)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
(20170209)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
(201703)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 ...