Applied Statistics
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A beta-binomial mixed-effects model approach for analysing longitudinal discrete and bounded outcomes
(Biometrical Journal, 2018-05)Patient-reported outcomes (PROs) are currently being increasingly used as primary outcome measures in observational and experimental studies since they inform clinicians and researchers about the health-status of patients ... -
A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay
(PLoS ONE, 2018-11-28)Over the last decade, the γ–H2AX focus assay, which exploits the phosphorylation of the H2AX histone following DNA double–strand–breaks, has made considerable progress towards acceptance as a reliable biomarker for exposure ... -
A note on Poisson goodness-of-fit tests for ionizing radiation induced chromosomal aberration samples
(International Journal of Radiation Biology, 2018-06-13)Purpose: To present Poisson exact goodness-of-fit tests as alternatives and complements to the asymptotic u-test, which is the most widely used in cytogenetic biodosimetry, to decide whether a sample of chromosomal aberrations ... -
Bayesian nonparametric inference for the covariate-adjusted ROC curve
(2018-05-30)Accurate diagnosis of disease is of fundamental importance in clinical practice and medical research. Before a medical diagnostic test is routinely used in practice, its ability to distinguish between diseased and nondiseased ... -
Dicentric dose estimates for patients undergoing radiotherapy in the RTGene study to assess blood dosimetric models and the new Bayesian method for gradient exposure
(2018-06-01)The RTGene study was focused on the development and validation of new transcriptional biomarkers for prediction of individual radiotherapy (RT) patient responses to ionising radiation (IR). In parallel, for validation ... -
PrEveCOPD: A computer application to predict adverse events in the short-term evolution of patients with exacerbation of COPD
(Journal of Medical Internet Research, 2018)Background: Chronic obstructive Pulmonary Disease (COPD) is a common chronic disease. Exacerbations of COPD (eCOPD) contribute to worsening of the disease and patient´s evolution. There are some clinical prediction rules ... -
Combining statistical techniques to predict post-surgical risk of 1-year mortality for patients with colon cancer
(Clinical Epidemiology, 2018-03-06)Introduction: Colorectal cancer is one of the most frequently diagnosed malignancies and a common cause of cancer-related mortality. The aim of this study was to develop and validate a clinical predictive model for1-year ... -
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. ... -
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
(Statistics and Computing, 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 ...
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