Recent Uses of Biological Data for the Evaluation of A-Bomb Radiation Dosimetry : I. DOSIMETRY

概要

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Random errors in the DS86 radiation dose estimates used in the analysis of A-bomb survivor data are recognized to have an important impact upon estimates of the risk of late effects such as cancer. Little however is known for certain concerning the distribution of such random errors. This paper gives an overview of recent work at the Radiation Effects Research Foundation (RERF) using multivariate analysis of biological data, including acute effects of radiation exposure, late effects (eg leukemia mortality) and stable chromosome aberrations, for the purpose of evaluating the extent of random error in the estimation of individual doses using D586. The emphasis here is on analyses of apparent association between biological endpoints, in light of a dosimetry error model framework proposed recently by Pierce et al.. Analyses performed to date appear to be consistent with the view that lognormal random dosimetry errors with a standard deviation of 40% or greater of true dose may exist in DS86.
日本放射線影響学会の論文