Cohort studies represent an important epidemiological tool for exploring the potential adverse health effects of low-dose exposure to ionizing radiation in the workplace. Analyses of data from the National Dose Registry of Canada have suggested that occupational radiation exposure leads to increased risk of several specific types of cancer, as well as increased overall risk of cancer. An important aspect of such studies is the censoring in recorded exposures induced by dosimetry detection limits. Such a censoring effect can lead to significant underestimation of cumulative doses which, in turn, can result in overestimation of the excess cancer risk associated with occupational radiation exposure. In this article, we present analytic results, supported by a simulation study, on the magnitude of overestimation of risk based on the additive relative risk model used in the analysis of the NDR data that can occur due to censoring. Our results indicate that overestimation of risk is modest, being less than 20% in all situations considered here. Because censoring also results in ovestimation of the precision of the risk estimates, the significance levels of Wald-type statistical tests for increased risk based on the ratio of the estimate to its standard error are virtually unaffected by censoring. These results suggest that although the application of the additive excess relative risk model in the presence of censoring may lead to some overestimation of risk, the model does not lead to invalid conclusions regarding the association between occupational radiation exposure and cancer risk based on data from the NDR. Keywords: excess relative risk, censoring, dosimeter, radiation, cancer, National Dose Registry.
Journal of Exposure Analysis and Environmental Epidemiology
IntroductionCohort studies represent an important epidemiological tool for estimating mortality rates associated with occupational and environmental exposures (Krewski et al., 2003b). For example, Pope et al. (1995) used the American Cancer Society's (ACS) Cancer Prevention Survey, a large cohort involving 1.2 million subjects in the United States followed since its inception in 1982, to link particulate air pollution less than 2.5 mm in aerodynamic diameter (PM 2.5 ) to mortality.Cohort mortality studies are subject to a number of sources of error. In the ACS cohort, the exposure of all individuals in the same city was approximated by the average PM 2.5 concentration measured at one or more fixed site ambient monitors located with the urban area (Krewski et al., 2003a, leading to exposure misclassification (Armstrong et al., 1992). Using data from a similar study conducted by (Dockery et al., 1993;Mallick et al., 2002) showed that adjusting for this type of exposure measurement error using regression calibration resulted in a notable increase in the mortality rates associated with particulate air pollution. Errors can also occur when vital status is determined by computerized record linkage (CRL) with mortality records maintained in national databases (Kr...