Heidenreich Wolfgang F, Cullings H M
Helmholtz Zentrum München German Research Center for Environmental Health (GmbH), Institute for Radiation Protection, 85764, Neuherberg, Germany.
Radiat Environ Biophys. 2010 Mar;49(1):39-46. doi: 10.1007/s00411-009-0253-9. Epub 2009 Nov 12.
All recent analyses of the data on solid cancer incidence of the atomic bomb survivors are corrected for migration and random dose errors. In the usual treatment with grouped data and regression calibration, the calibration of doses depends on the used dose response. For solid cancers, it usually is linear. Here, an individual likelihood is presented which works without further adjustment for all dose responses. When the same assumptions are made as in the usual Poisson regression, equivalent results are obtained. But, the individual likelihood has the potential to use more detailed models for dose errors and to estimate non-linear dose responses without recalibration. As an example for the potential of the individual data set for the analysis of risk at low doses, signals for a saturating bystander effect are investigated.
对原子弹幸存者实体癌发病率数据的所有最新分析均针对迁移和随机剂量误差进行了校正。在使用分组数据和回归校准的常规处理中，剂量校准取决于所使用的剂量反应。对于实体癌，其通常呈线性。在此，提出了一种个体似然法，该方法无需针对所有剂量反应进行进一步调整即可发挥作用。当采用与常规泊松回归相同的假设时，可得到等效结果。但是，个体似然法有潜力使用更详细的剂量误差模型，并在无需重新校准的情况下估计非线性剂量反应。作为个体数据集用于低剂量风险分析潜力的一个例子，研究了饱和旁观者效应的信号。
