Applied Statistics
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Recent Submissions
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Suggestion of reduced cancer risks following cardiac x-ray exposures is unconvincing
(European Journal of Epidemiology, 2018-03-31) -
Time resolved amplified FRET identifies protein kinase B activation state as a marker for poor prognosis in clear cell renal cell carcinoma
(BBA Clinical, 2017-12)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/PEI-coated silver nanoparticles to zebrafish
(Comparative Biochemistry and Physiology - part C: Toxicology & Pharmacology, 2017-03-18)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/PEI-coated ... -
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, 2017-12)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, 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 ... -
Uncertainty on radiation doses estimated by biological and retrospective physical methods
(Radiation Protection Dosimetry, 2017-09-18)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 goodness-of-fit test based on the occupancy problems to study zero-inflation and zero-deflation in biological dosimetry data
(Radiation Protection Dosimetry, 2018-01-12)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 x-ray guided cardiac catheterization procedures
(European Journal of Epidemiology, 2018-01-18)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 non-standard generalised linear mixed models: Application to penalised smoothing
(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 ... -
Bootstrap-based procedures for inference in nonparametric receiver-operating 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 receiver-operating characteristic curve is the measure of accuracy most widely used for ... -
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 ... -
Correcting for spatial heterogeneity in plant breeding experiments with P-splines
(Spatial Statistics, 2017-10-27)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 ... -
A simple Bayesian linear excess relative risk model
(2017-07-11)A new Bayesian Poisson relative risk model is proposed for displaying the excess relative risk associated to a unique exposure as a probability distribution in a closed form. The background risk can be modelled by a unique ... -
Modelling spatial trends in sorghum breeding field trials using a two-dimensional P-spline mixed model
(Theoretical and Applied Genetics, 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 ... -
Comparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studies
(SORT (Statistics and Operations Research Transactions), 2017-04)The Cox proportional hazards model is the most widely used survival prediction model for analysing timeto-event data. To measure the discrimination ability of a survival model the concordance probability index is widely ... -
Effect of trampling and digging from shell shing on Zostera noltei (Zosteraceae) intertidal seagrass beds
(Scientia Marina, 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 ... -
Penalized composite link mixed models for two-dimensional count data
(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 ... -
Modelling latent trends from spatio-temporally grouped data using composite link mixed models
(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 ... -
Predicting Pregnancy Outcomes Using Longitudinal Information: A Penalized Splines Mixed–Effects Model Approach
(Statistics in Medicine, 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 ... -
Comparison of beta-binomial regression model approaches to analyze health related quality of life data
(Statistical Methods in Medical Research, 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 ...
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