Review of Bayesian statistical analysis methods for cytogenetic radiation biodosimetry, with a practical example
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Review of Bayesian statistical analysis methods for cytogenetic radiation biodosimetry, with a practical example. / Ainsbury, Elizabeth A; Vinnikov, Volodymyr A; Puig, Pedro; Higueras, Manuel; Maznyk, Nataliya A; Lloyd, David C; Rothkamm, Kai.
in: RADIAT PROT DOSIM, Jahrgang 162, Nr. 3, 12.2014, S. 185-96.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Review › Forschung
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TY - JOUR
T1 - Review of Bayesian statistical analysis methods for cytogenetic radiation biodosimetry, with a practical example
AU - Ainsbury, Elizabeth A
AU - Vinnikov, Volodymyr A
AU - Puig, Pedro
AU - Higueras, Manuel
AU - Maznyk, Nataliya A
AU - Lloyd, David C
AU - Rothkamm, Kai
N1 - © The Author 2013. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
PY - 2014/12
Y1 - 2014/12
N2 - 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.
AB - 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.
KW - Bayes Theorem
KW - Chromosome Aberrations/radiation effects
KW - Chromosomes, Human/radiation effects
KW - Cytogenetic Analysis/methods
KW - Humans
KW - Radiation Dosage
KW - Radiation Monitoring/methods
KW - Software
U2 - 10.1093/rpd/nct301
DO - 10.1093/rpd/nct301
M3 - SCORING: Review article
C2 - 24282320
VL - 162
SP - 185
EP - 196
JO - RADIAT PROT DOSIM
JF - RADIAT PROT DOSIM
SN - 0144-8420
IS - 3
ER -