title: Review of Bayesian statistical analysis methods for cytogenetic radiation biodosimetry, with a practical example.
abstract: 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 framework focuses on identification of probability distributions (for yield of aberrations or estimated dose), which also means that uncertainty is an intrinsic part of the analysis, rather than an 'afterthought'. In this paper Bayesian, as well as some more advanced classical, data analysis methods for radiation cytogenetics are reviewed that have been proposed in the literature. A practical overview of Bayesian cytogenetic dose estimation is also presented, with worked examples from the literature.
authors.affiliation: Public Health England Centre for Radiation, Chemical and Environmental Hazards, Chilton, Didcot, Oxon OX11 0RQ, UK liz.ainsbury@phe.gov.uk.
authors.forename: Elizabeth A
authors.initials: EA
authors.lastname: Ainsbury
authors.affiliation: Grigoriev Institute for Medical Radiology of the National Academy of Medical Science of Ukraine, Kharkiv, Ukraine.
authors.forename: Volodymyr A
authors.initials: VA
authors.lastname: Vinnikov
authors.affiliation: Departament de Matemàtiques, Universitat Autònoma de Barcelona, Barcelona, Spain.
authors.forename: Pedro
authors.initials: P
authors.lastname: Puig
authors.affiliation: Public Health England Centre for Radiation, Chemical and Environmental Hazards, Chilton, Didcot, Oxon OX11 0RQ, UK Departament de Matemàtiques, Universitat Autònoma de Barcelona, Barcelona, Spain.
authors.forename: Manuel
authors.initials: M
authors.lastname: Higueras
authors.affiliation: Grigoriev Institute for Medical Radiology of the National Academy of Medical Science of Ukraine, Kharkiv, Ukraine.
authors.forename: Nataliya A
authors.initials: NA
authors.lastname: Maznyk
authors.affiliation: Public Health England Centre for Radiation, Chemical and Environmental Hazards, Chilton, Didcot, Oxon OX11 0RQ, UK.
authors.forename: David C
authors.initials: DC
authors.lastname: Lloyd
authors.affiliation: Public Health England Centre for Radiation, Chemical and Environmental Hazards, Chilton, Didcot, Oxon OX11 0RQ, UK.
authors.forename: Kai
authors.initials: K
authors.lastname: Rothkamm
mesh_terms: D001499:Bayes Theorem; D002869:Chromosome Aberrations / Q000528:radiation effects; D002877:Chromosomes, Human / Q000528:radiation effects*; D020732:Cytogenetic Analysis / Q000379:methods*; D006801:Humans; D011829:Radiation Dosage; D011834:Radiation Monitoring / Q000379:methods*; D012984:Software