Ainsbury Elizabeth A, Vinnikov Volodymyr A, Maznyk Nataliya A, Lloyd David C, Rothkamm Kai
Health Protection Agency Centre for Radiation, Chemical and Environmental Hazards, Chilton, Didcot, Oxon OX11 0RQ, UK.
Radiat Prot Dosimetry. 2013 Jul;155(3):253-67. doi: 10.1093/rpd/ncs335. Epub 2013 Jan 16.
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.
泊松分布是细胞遗传学辐射生物剂量测定中最广为人知且最常用的分布。然而，人们认识到，由于辐射暴露情况的复杂性，其他分布可能更适用于实际情况。在此，对泊松分布、伽马分布、负二项分布、贝塔分布、奈曼A型分布和埃尔米特分布在“实际”辐射暴露情况下的适用性进行了比较。在每种特定暴露情况下确定最合适的统计模型能更准确地表征数据。结果表明，对于急性、均匀（全身）暴露，泊松分布仍能很好地拟合数据。对于局部身体部分暴露，发现奈曼A型模型最为稳健。总体而言，没有发现单一分布普遍适用。因此，建议采用针对特定分布的细胞遗传学数据分析方法。这种方法可能潜在地导致更准确的生物剂量估计。
