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Suggestion of reduced cancer risks following cardiac xray exposures is unconvincing
(European Journal of Epidemiology, 20180331) 
Time resolved amplified FRET identifies protein kinase B activation state as a marker for poor prognosis in clear cell renal cell carcinoma
(BBA Clinical, 201712)Purpose Clear cell Renal Cell Carcinomas (ccRCC), the largest group of renal tumours, are resistant to classical therapies. The determination of the functional state of actionable biomarkers for the assessment of these ... 
Acute toxicity, bioaccumulation and effects of dietary 1 transfer of silver from brine 2 shrimps exposed to PVP/PEIcoated silver nanoparticles to zebrafish
(Comparative Biochemistry and Physiology  part C: Toxicology & Pharmacology, 20170318)The extensive use and release to the aquatic environment of silver nanoparticles (NPs) could lead to their incorporation into the food web. Brine shrimp larvae of 24 h showed low sensitivity to the exposure to PVP/PEIcoated ... 
Sample size impact on the categorisation of continuous variables in clinical prediction
(Trends in Mathematics. Research Perspectives CRM Barcelona. Extended Abstracts Fall 2015. Biomedical Big Data; Statistics for Low Dose Radiation Research, 201712)Recent advances in information technologies are generating a growth in the amount of available biomedical data. In this paper, we studied the impact sample size may have on the categorisation of a continuous predictor ... 
A new approach to categorize continuous variables in prediction models: Proposal and validation
(Statistical Methods in Medical Research, 201712)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 ... 
Uncertainty on radiation doses estimated by biological and retrospective physical methods
(Radiation Protection Dosimetry, 20170918)Biological and physical retrospective dosimetry are recognised as key techniques to provide individual estimates of dose following unplanned exposures to ionising radiation. Whilst there has been a relatively large amount ... 
An exact goodnessoffit test based on the occupancy problems to study zeroinflation and zerodeflation in biological dosimetry data
(Radiation Protection Dosimetry, 20180112)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 ... 
Cancer incidence among children and young adults who have undergone xray guided cardiac catheterization procedures
(European Journal of Epidemiology, 20180118)Children and young adults with heart disease appear to be at increased risk of developing cancer, although the reasons for this are unclear. A cohort of 11,270 individuals, who underwent cardiac catheterizations while aged ... 
On the estimation of variance parameters in nonstandard generalised linear mixed models: Application to penalised smoothing
(20180124)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 ... 
Bootstrapbased procedures for inference in nonparametric receiveroperating characteristic curve regression analysis
(Statistical Methods in Medical Research, 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 ... 
Multiobjectivising Combinatorial Optimisation Problems by means of Elementary Landscape Decompositions
(Evolutionary Computation, 201712)In the last decade, many works in combinatorial optimisation have shown that, due to the advances in multiobjective optimisation, the algorithms from this field could be used for solving singleobjective problems as well. ... 
Hierarchical modelling of patientreported outcomes data based on the betabinomial distribution
(20171213)The betabinomial 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 ... 
A system for airport weather forecasting based on circular regression trees
(Environmental Modelling & Software, 20171101)This paper describes a suite of tools and a model for improving the accuracy of airport weather forecasts produced by numerical weather prediction (NWP) products, by learning from the relationships between previously ... 
Learning to classify software defects from crowds: a novel approach
(Applied Soft Computing, 20171101)In software engineering, associating each reported defect with a cate gory allows, among many other things, for the appropriate allocation of resources. Although this classification task can be automated using stan dard ... 
Correcting for spatial heterogeneity in plant breeding experiments with Psplines
(Spatial Statistics, 20171027)An important aim of the analysis of agricultural field experiments is to obtain good predictions for genotypic performance, by correcting for spatial effects. In practice these corrections turn out to be complicated, since ... 
Early classification of time series by simultaneously optimizing the accuracy and earliness
(IEEE Transactions on Neural Networks and Learning Systems, 201710)The problem of early classi cation of time series appears naturally in contexts where the data, of temporal nature, is collected over time, and early class predictions are interesting or even required. The objective is to ... 
An efficient evolutionary algorithm for the orienteering problem
(Computers and Operations Research, 20170906)This paper deals with the Orienteering Problem, which is a routing problem. In the Orienteering Problem, each node has a profit assigned and the goal is to find the route that maximizes the total collected profit subject ... 
The Weighted Independent Domination Problem: ILP Model and Algorithmic Approaches
(European Journal of Operational Research, 20170830)This work deals with the socalled weighted independent domination problem, which is an $NP$hard combinatorial optimization problem in graphs. In contrast to previous work, this paper considers the problem from a ... 
Measuring the Classimbalance Extent of Multiclass Problems
(Pattern Recognition Letter, 20170730)Since many important realworld classification problems involve learning from unbalanced data, the challenging classimbalance problem has lately received con siderable attention in the community. Most of the methodological ... 
Costefficient deployment of multihop wireless networks over disaster areas using multiobjective metaheuristics
(Neurocomputing, 201707)Nowadays there is a global concern with the growing frequency and magnitude of natural disasters, many of them associated with climate change at a global scale. When tackled during a stringent economic era, the allocation ...