Manuel Higueras

Manuel Higueras
Universidad de La Rioja (Spain) | UNIRIOJA · Mathematics and Computation

Doctor of Philosophy

About

41
Publications
4,659
Reads
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251
Citations
Additional affiliations
April 2016 - present
Newcastle University
Position
  • Research Associate
November 2015 - March 2016
Public Health England
Position
  • PostDoc Position
September 2014 - January 2015
Autonomous University of Barcelona
Position
  • PhD Student
Description
  • Linear Models, practical part; Degree of Mathematics
Education
November 2012 - October 2015
Autonomous University of Barcelona
Field of study
  • Mathematics
September 2011 - June 2012
Universidad de La Rioja (Spain)
Field of study
  • Mathematics
November 2010 - September 2012
Universidad de La Rioja (Spain)
Field of study
  • Mathematical Modelling, Statistics and Computing

Publications

Publications (41)
Article
Full-text available
The final year module ‘Clinical Biochemistry’ [originally shared between the BSc in Biomedical Science and BMedSci in Medical Science, De Montfort University (DMU), UK] was comprehensively reviewed to introduce specialised case studies to strengthen the clinical applied component and facilitate acquisition of analytic and diagnostic skills for prog...
Article
Purpose: To test the performance of different algorithms that can be used in interlaboratory comparisons based on dicentric chromosome analysis, and to evaluate the impact of considering a priori values different to calculate individual laboratory performance based on the ionizing radiation dose estimation. Methods: Mean and standard deviation e...
Article
Full-text available
Purpose: To introduce optimal experimental design techniques in the cytogenetic biological dosimetry practice. This includes the development of a new optimality criterion for the calibration of radiation doses. Materials and Methods: The most typical optimal design criterion and the one developed in this research are introduced and applied in an ex...
Article
Purpose: To present the impact in coverage of different methods for Poisson confidence intervals and the impact in dose coverage of different uncertainty factors. A detailed explanation of the uncertainty sources in the Bayesian method is also presented. Materials and methods: The exact coverage of uncertainty Poisson confidence intervals and the d...
Article
Purpose: The goal was to compare the micronucleus (MN) and dicentric plus ring chromosomes (D + R) assays for dose assessment in cases of partial body irradiations (PBI). Materials and methods: We constructed calibration curves for each assay at doses ranging from 0 to 5 Gy. In order to simulate partial-body exposures, blood samples from two donors...
Data
Software tutorial for DoseEstimateH2AX
Article
Full-text available
Two new implementations for fitting Poisson excess relative risk methods are proposed for assumed simple models. This allows for estimation of the excess relative risk associated with a unique exposure, where the background risk is modelled by a unique categorical variable, for example gender or attained age levels. Additionally, it is shown how to...
Article
Full-text available
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 to ionizing radiation. While the existing literature has convincingly demonstrated a dose–response effect, and also presented...
Data
DoseEstimateH2AX tutorial. (PDF)
Data
PHE calibration data (1h and 24h) in .xls and .dat format. (ZIP)
Article
The RTGene study was focused on the development and validation of new transcriptional biomarkers for prediction of individual radiotherapy patient responses to ionizing radiation. In parallel, for validation purposes, this study incorporated conventional biomarkers of radiation exposure, including the dicentric assay. Peripheral blood samples were...
Article
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 in blood cells comes from an homogeneous or inhomogeneous exposure. Materials and Methods: Three Poisson exact goodness-of-...
Article
Full-text available
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 ≤ 22 years in the UK, was established from hospital records. Radiation doses from cardiac catheterizations and CT scans were es...
Article
Full-text available
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 of recent development in the biological and physical procedures, development of statistical analysis techniques has failed to ke...
Article
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 cells is performed and dose response calibration curves are built. In whole body irradiation (WBI) with X and gamma-rays, the numb...
Chapter
Recently developed Bayesian models for the estimation of the absorbed ionising radiation dose in whole and partial body homogenous exposures are introduced. The whole body exposure models can manage with overdispersed frequencies of chromosomal aberrations. Poisson models have been implemented in the R package radir.
Article
Purpose Reliable dose estimation is an important factor in appropriate dosimetric triage categorization of exposed individuals to support radiation emergency response. Materials and Methods Following work done under the EU FP7 MULTIBIODOSE and RENEB projects, formal methods for defining uncertainties on biological dose estimates are compared using...
Article
Full-text available
Within the field of cytogenetic biodosimetry, Poisson regression is the classical approach for modeling the number of chromosome aberrations as a function of radiation dose. However, it is common to find data that exhibit overdispersion. In practice, the assumption of equidispersion may be violated due to unobserved heterogeneity in the cell popula...
Article
Full-text available
The Bayesian framework has been shown to be very useful in cytogenetic dose estimation. This approach allows description of the probability of an event in terms of previous knowledge, e.g. its expectation and/or its uncertainty. A new R package entitled radir (radiation inverse regression) has been implemented with the aim of reproducing a recent B...
Article
Full-text available
A new zero-inflated Poisson model is introduced for the estimation of partial body irradiation dose and fraction of body irradiated. The Bayes factors are introduced as tools to help determine whether a data set of chromosomal aberrations obtained from a blood sample reflects partial or whole body irradiation. Two examples of simulated cytogenetic...
Article
Full-text available
Manuel Higueras1,2⇑, Pedro Puig2, Elizabeth A. Ainsbury1 and Kai Rothkamm11Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, Oxfordshire OX11 0RQ, UK2Departament de Matemàtiques, Universitat Autònoma de Barcelona, Bellaterra, Barcelona 08193, Spaine-mail: manuel.higueras-hernaezatphe.gov.ukAbstract Biological...
Article
Full-text available
The Generalized Hermite distribution (and the Hermite distribution as a particular case) is often used for fitting count data in the presence of overdispersion or multimodality. Despite this, to our knowledge, no standard software packages have implemented specific functions to compute basic probabilities and make simple statistical inference based...
Article
Full-text available
Classical methods of assessing the uncertainty associated with radiation doses estimated using cytogenetic techniques are now extremely well defined. However, several authors have suggested that a Bayesian approach to uncertainty estimation may be more suitable for cytogenetic data, which are inherently stochastic in nature. The Bayesian analysis f...

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