A5061617652- Statistical Methods and Bayesian Inference
- Spatial and Panel Data Analysis
- Bayesian Methods and Mixture Models
- Soil Geostatistics and Mapping
- Statistical Methods and Inference
- Economic and Environmental Valuation
- Data-Driven Disease Surveillance
- Insurance, Mortality, Demography, Risk Management
- demographic modeling and climate adaptation
- Point processes and geometric inequalities
- Species Distribution and Climate Change
- Health disparities and outcomes
- Geographic Information Systems Studies
- Data Analysis with R
- Wildlife Ecology and Conservation
- Climate Change and Health Impacts
- Air Quality and Health Impacts
- Regional Economic and Spatial Analysis
- Statistical Distribution Estimation and Applications
- Ecology and Vegetation Dynamics Studies
- COVID-19 epidemiological studies
- Statistical Methods in Clinical Trials
- Spectroscopy and Chemometric Analyses
- Hemodynamic Monitoring and Therapy
- Nutritional Studies and Diet
University of Castilla-La Mancha
2016-2025
Hospital General Universitario de Albacete
2021-2022
Imperial College London
2006-2008
Universitat de València
2003-2005
Universitat Jaume I
2005
Generalized additive models (GAMs) are one of the main modeling tools for data analysis.GAMs can efficiently combine different types fixed, random and smooth terms in linear predictor a regression model to account effects.Then this be conveniently linked mean observations, that modeled using distribution from exponential family.As described Wood's book, GAMs cover wide range statistical used practice, such as general model, generalized mixed-effects models.This is stressed throughout book...
The impact of the COVID-19 pandemic on excess mortality from all causes in 2020 varied across and within European countries. Using data for 2015-2019, we applied Bayesian spatio-temporal models to quantify expected weekly deaths at regional level had not occurred England, Greece, Italy, Spain, Switzerland. With around 30%, Madrid, Castile-La Mancha, Castile-Leon (Spain) Lombardia (Italy) were regions with highest mortality. In Greece Switzerland, most affected Outer London West Midlands...
Ecology Letters (2010) 13: 372–382 Abstract Amphibian chytridiomycosis is a disease caused by the fungus Batrachochytrium dendrobatidis ( Bd ). Whether new emerging pathogen (the novel hypothesis; NPH) or whether environmental changes are exacerbating host‐pathogen dynamic endemic EPH) debated. To disentangle these hypotheses we map distribution of and across Iberian Peninsula centred on first European outbreak site. We find that infection‐free state norm both sample sites individuals....
The integrated nested Laplace approximation (INLA) provides an interesting way of approximating the posterior marginals a wide range Bayesian hierarchical models. This is based on conducting certain functions and numerical integration extensively used to integrate some models parameters out. R-INLA package offers interface INLA, providing suitable framework for data analysis. Although INLA methodology can deal with large number models, only most relevant have been implemented within R-INLA....
Abstract It remains hotly debated whether latitudinal diversity gradients are common across taxonomic groups and a single mechanism can explain such gradients. Investigating species richness (SR) patterns of European land plants, we determine SR increases with decreasing latitude, as predicted by theory the assembly mechanisms differ among groups. towards south in spermatophytes, but north ferns bryophytes. spermatophytes consistent their beta diversity, high levels nestedness turnover...
Air pollution epidemiological studies suggest that elevated exposure to fine particulate matter (PM2.5) is associated with higher prevalence of term low birth weight (TLBW). Previous have generally assumed the exposure-response PM2.5 on TLBW be same throughout a large geographical area. Health effects related exposures, however, may not uniformly distributed spatially, creating need for explicitly investigate spatial distribution relationship between individual-level and TLBW. Here, we...
Methods for the statistical analysis of stationary spatial point process data are now well established, methods nonstationary processes less so. One many sources is a case-control study in environmental epidemiology. In that context, consist realization each two representing locations, within specified geographical region, individual cases disease and controls drawn at random from population risk. this article, we extend work by Baddeley, Møller, Waagepetersen (2000, Statistica...
This paper focuses on the affective component of a Driver Behavioural Model (DBM), specifically modelling some driver's mental states, such as load and active fatigue, which may affect driving performance. We used Bayesian networks (BNs) to explore dependencies between various relevant variables estimate probability that driver was in particular state based their physiological demographic conditions. Through this approach, our goal is improve understanding behaviour dynamic environments,...
Recently, concerns have centered on how to expand knowledge the limited science related cumulative impact of multiple air pollution exposures and potential vulnerability poor communities their toxic effects. The highly intercorrelated nature makes application standard regression-based methods these questions problematic due well-known issues multicollinearity. Our paper addresses problems by using, as its basic unit inference, a profile consisting pattern exposure values. These profiles are...
Survival analysis is one of the most important fields statistics in medicine and biological sciences. In addition, computational advances last decades have favored use Bayesian methods this context, providing a flexible powerful alternative to traditional frequentist approach. The objective article summarize some popular survival models, such as accelerated failure time, proportional hazards, mixture cure, competing risks, multi‐state, frailty, joint models longitudinal data. Moreover, an...