A Method for Estimating Occupational Radiation Dose to Individuals, Using Weekly Dosimetry Data

Statistical analyses of data from epidemiological studies of workers exposed to radiation have been based on recorded annual radiation doses. It is usually assumed that the annual doses are known exactly, although it is generally recognized that the data contain uncertainty due to measurement error...

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Bibliographic Details
Published in:Radiation research 1997-02, Vol.147 (2), p.195-207
Main Authors: Mitchell, Toby J., Ostrouchov, George, Frome, Edward L., Kerr, George D.
Format: Article
Language:English
Subjects:
Applied radiobiology (equipment, dosimetry...)
Bayes Theorem
Bias
Biological and medical sciences
Biological effects of radiation
Censorship
Cohort Studies
Dose response relationship
Dosimetry
Epidemiologic studies
Equipment Failure
Estimation methods
Film dosimetry
Fundamental and applied biological sciences. Psychology
Humans
Likelihood Functions
Occupational Exposure
Probability distributions
Radiation Dosage
Radiation dose response relationship
Radiation Monitoring - instrumentation
Radiation Monitoring - methods
Radiometry
Sensitivity and Specificity
Statistics, Nonparametric
Tissues, organs and organisms biophysics
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Summary:Statistical analyses of data from epidemiological studies of workers exposed to radiation have been based on recorded annual radiation doses. It is usually assumed that the annual doses 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 specific period 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 are currently being used in studies of the effects 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 coefficients and their standard errors.
ISSN:0033-7587
1938-5404
DOI:10.2307/3579421