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

Elizabeth A. Ainsbury, Volodymyr A. Vinnikov, Pedro Puig, Manuel Higueras, Nataliya A. Maznyk, David C. Lloyd, Kai Rothkamm

Research output: Contribution to journalReview articleResearchpeer-review

13 Citations (Scopus)

Abstract

© The Author 2013. Published by Oxford University Press. All rights reserved. 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.
Original languageEnglish
Article numbernct301
Pages (from-to)185-196
JournalRadiation Protection Dosimetry
Volume162
Issue number3
DOIs
Publication statusPublished - 1 Jan 2014

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    Ainsbury, E. A., Vinnikov, V. A., Puig, P., Higueras, M., Maznyk, N. A., Lloyd, D. C., & Rothkamm, K. (2014). Review of bayesian statistical analysis methods for cytogenetic radiation biodosimetry, with a practical example. Radiation Protection Dosimetry, 162(3), 185-196. [nct301]. https://doi.org/10.1093/rpd/nct301