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, Vol. 162, No. 3, 12.2014, p. 185-96.

Research output: SCORING: Contribution to journalSCORING: Review articleResearch

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@article{906c544590164af1bf191f4ae0e9224d,
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. ",
keywords = "Bayes Theorem, Chromosome Aberrations/radiation effects, Chromosomes, Human/radiation effects, Cytogenetic Analysis/methods, Humans, Radiation Dosage, Radiation Monitoring/methods, Software",
author = "Ainsbury, {Elizabeth A} and Vinnikov, {Volodymyr A} and Pedro Puig and Manuel Higueras and Maznyk, {Nataliya A} and Lloyd, {David C} and Kai Rothkamm",
note = "{\textcopyright} The Author 2013. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.",
year = "2014",
month = dec,
doi = "10.1093/rpd/nct301",
language = "English",
volume = "162",
pages = "185--96",
journal = "RADIAT PROT DOSIM",
issn = "0144-8420",
publisher = "Oxford University Press",
number = "3",

}

RIS

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 -