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A comparison of six statistical distributions for analysis of chromosome aberration data for radiation biodosimetry

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A comparison of six statistical distributions for analysis of chromosome aberration data for radiation biodosimetry. / Ainsbury, Elizabeth A; Vinnikov, Volodymyr A; Maznyk, Nataliya A; Lloyd, David C; Rothkamm, Kai.

In: RADIAT PROT DOSIM, Vol. 155, No. 3, 07.2013, p. 253-67.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Ainsbury, EA, Vinnikov, VA, Maznyk, NA, Lloyd, DC & Rothkamm, K 2013, 'A comparison of six statistical distributions for analysis of chromosome aberration data for radiation biodosimetry', RADIAT PROT DOSIM, vol. 155, no. 3, pp. 253-67. https://doi.org/10.1093/rpd/ncs335

APA

Ainsbury, E. A., Vinnikov, V. A., Maznyk, N. A., Lloyd, D. C., & Rothkamm, K. (2013). A comparison of six statistical distributions for analysis of chromosome aberration data for radiation biodosimetry. RADIAT PROT DOSIM, 155(3), 253-67. https://doi.org/10.1093/rpd/ncs335

Vancouver

Ainsbury EA, Vinnikov VA, Maznyk NA, Lloyd DC, Rothkamm K. A comparison of six statistical distributions for analysis of chromosome aberration data for radiation biodosimetry. RADIAT PROT DOSIM. 2013 Jul;155(3):253-67. https://doi.org/10.1093/rpd/ncs335

Bibtex

@article{e228d3069f234800b7a0ad8382c82ddf,
title = "A comparison of six statistical distributions for analysis of chromosome aberration data for radiation biodosimetry",
abstract = "The Poisson distribution is the most widely recognised and commonly used distribution for cytogenetic radiation biodosimetry. However, it is recognised that, due to the complexity of radiation exposure cases, other distributions may be more properly applied. Here, the Poisson, gamma, negative binomial, beta, Neyman type-A and Hermite distributions are compared in terms of their applicability to 'real-life' radiation exposure situations. The identification of the most appropriate statistical model in each particular exposure situation more correctly characterises data. The results show that for acute, homogeneous (whole-body) exposures, the Poisson distribution can still give a good fit to the data. For localised partial-body exposures, the Neyman type-A model was found to be the most robust. Overall, no single distribution was found to be universally appropriate. A distribution-specific method of analysis of cytogenetic data is therefore recommended. Such an approach may lead potentially to more accurate biological dose estimates. ",
keywords = "Algorithms, Bayes Theorem, Chromosome Aberrations/radiation effects, Chromosomes, Human/radiation effects, Cytogenetics, Environmental Exposure, Humans, Radiation Dosage, Radiation Monitoring, Radiometry, Software, Statistical Distributions",
author = "Ainsbury, {Elizabeth A} and Vinnikov, {Volodymyr A} and Maznyk, {Nataliya A} and Lloyd, {David C} and Kai Rothkamm",
year = "2013",
month = jul,
doi = "10.1093/rpd/ncs335",
language = "English",
volume = "155",
pages = "253--67",
journal = "RADIAT PROT DOSIM",
issn = "0144-8420",
publisher = "Oxford University Press",
number = "3",

}

RIS

TY - JOUR

T1 - A comparison of six statistical distributions for analysis of chromosome aberration data for radiation biodosimetry

AU - Ainsbury, Elizabeth A

AU - Vinnikov, Volodymyr A

AU - Maznyk, Nataliya A

AU - Lloyd, David C

AU - Rothkamm, Kai

PY - 2013/7

Y1 - 2013/7

N2 - The Poisson distribution is the most widely recognised and commonly used distribution for cytogenetic radiation biodosimetry. However, it is recognised that, due to the complexity of radiation exposure cases, other distributions may be more properly applied. Here, the Poisson, gamma, negative binomial, beta, Neyman type-A and Hermite distributions are compared in terms of their applicability to 'real-life' radiation exposure situations. The identification of the most appropriate statistical model in each particular exposure situation more correctly characterises data. The results show that for acute, homogeneous (whole-body) exposures, the Poisson distribution can still give a good fit to the data. For localised partial-body exposures, the Neyman type-A model was found to be the most robust. Overall, no single distribution was found to be universally appropriate. A distribution-specific method of analysis of cytogenetic data is therefore recommended. Such an approach may lead potentially to more accurate biological dose estimates.

AB - The Poisson distribution is the most widely recognised and commonly used distribution for cytogenetic radiation biodosimetry. However, it is recognised that, due to the complexity of radiation exposure cases, other distributions may be more properly applied. Here, the Poisson, gamma, negative binomial, beta, Neyman type-A and Hermite distributions are compared in terms of their applicability to 'real-life' radiation exposure situations. The identification of the most appropriate statistical model in each particular exposure situation more correctly characterises data. The results show that for acute, homogeneous (whole-body) exposures, the Poisson distribution can still give a good fit to the data. For localised partial-body exposures, the Neyman type-A model was found to be the most robust. Overall, no single distribution was found to be universally appropriate. A distribution-specific method of analysis of cytogenetic data is therefore recommended. Such an approach may lead potentially to more accurate biological dose estimates.

KW - Algorithms

KW - Bayes Theorem

KW - Chromosome Aberrations/radiation effects

KW - Chromosomes, Human/radiation effects

KW - Cytogenetics

KW - Environmental Exposure

KW - Humans

KW - Radiation Dosage

KW - Radiation Monitoring

KW - Radiometry

KW - Software

KW - Statistical Distributions

U2 - 10.1093/rpd/ncs335

DO - 10.1093/rpd/ncs335

M3 - SCORING: Journal article

C2 - 23325781

VL - 155

SP - 253

EP - 267

JO - RADIAT PROT DOSIM

JF - RADIAT PROT DOSIM

SN - 0144-8420

IS - 3

ER -