A Method for EstimatingOccupational Radiation Dose to Individuals , Using Weekly Dosimetry

Statistical analyses of data from epidemi-ologic studies of workers exposed to radiation have been based on recorded annual radiation doses. It is usually assumed that the annual dose values are known exactly, although it is generally recognized that the data contain uncertainty due to measurement error and bias. We propose the use of a probability distribution to describe an individual's dose during a speciic period of time and develop statistical methods for estimating this distribution. The methods take into account the \measurement error" that is produced by the dosimetry system, and the bias that was introduced by policies of recording doses below a threshold as zero. The method is applied to a sample of dose histories over the period 1945 to 1955 obtained from hard copy dosimetry records at Oak Ridge National Laboratory (ORNL). The result of this evaluation raises serious questions about the validity of the historical personnel dosimetry data that is currently being used in studies of the eeects of low doses in nuclear industry workers. In particular , it appears that there was a systematic underestimation of doses for ORNL workers. This may result in biased estimates of dose-response coeecients and their standard errors.