Review of Bayesian statistical analysis methods for cytogenetic radiation biodosimetry, with a practical example

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 inhere...

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Bibliographic Details
Published in:Radiation protection dosimetry 2014-12, Vol.162 (3), p.185-196
Main Authors: Ainsbury, Elizabeth A, Vinnikov, Volodymyr A, Puig, Pedro, Higueras, Manuel, Maznyk, Nataliya A, Lloyd, David C, Rothkamm, Kai
Format: Article
Language:English
Subjects:
Bayes Theorem
Chromosome Aberrations - radiation effects
Chromosomes, Human - radiation effects
Cytogenetic Analysis - methods
Humans
Radiation Dosage
Radiation Monitoring - methods
Software
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Summary: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.
ISSN:0144-8420
1742-3406
DOI:10.1093/rpd/nct301