Matemáticas y Computación
Departamento
Public Health England
Londres, Reino UnidoPublicaciones en colaboración con investigadores/as de Public Health England (11)
2018
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A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay
PLoS ONE, Vol. 13, Núm. 11
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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, Vol. 179, Núm. 4, pp. 317-326
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Dicentric dose estimates for patients undergoing radiotherapy in the rtgene study to assess blood dosimetric models and the new Bayesian method for gradient exposure
Radiation Research, Vol. 190, Núm. 6, pp. 596-604
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Uncertainty on radiation doses estimated by biological and retrospective physical methods
Radiation Protection Dosimetry, Vol. 178, Núm. 4, pp. 382-404
2017
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Bayesian solutions to biodosimetry count data problems and supporting software
Trends in Mathematics
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Uncertainty of fast biological radiation dose assessment for emergency response scenarios
International Journal of Radiation Biology, Vol. 93, Núm. 1, pp. 127-135
2016
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Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study
Biometrical Journal, Vol. 58, Núm. 2, pp. 259-279
2015
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A new bayesian model applied to cytogenetic partial body irradiation estimation
Radiation Protection Dosimetry, Vol. 168, Núm. 3, pp. 330-336
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A new inverse regression model applied to radiation biodosimetry
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 471, Núm. 2174
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Radir package: An R implementation for cytogenetic biodosimetry dose estimation
Journal of Radiological Protection, Vol. 35, Núm. 3, pp. 557-569
2014
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Review of bayesian statistical analysis methods for cytogenetic radiation biodosimetry, with a practical example
Radiation Protection Dosimetry, Vol. 162, Núm. 3, pp. 185-196