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, Jahrgang 155, Nr. 3, 07.2013, S. 253-67.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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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 -