Errors and Uncertainties in Dose Reconstruction for Radiation Effects Research

Dose reconstruction for studies of the health effects of ionizing radiation have been carried out for many decades. Major studies have included Japanese bomb survivors, atomic veterans, downwinders of the Nevada Test Site and Hanford, underground uranium miners, and populations of nuclear workers. For such studies to be credible, significant effort must be put into applying the best science to reconstructing unbiased absorbed doses to tissues and organs as a function of time. In many cases, more and more sophisticated dose reconstruction methods have been developed as studies progressed. For the example of the Japanese bomb survivors, the dose surrogate “distance from the hypocenter” was replaced by slant range, and then by TD65 doses, DS86 doses, and more recently DS02 doses. Over the years, it has become increasingly clear that an equal level of effort must be expended on the quantitative assessment of uncertainty in such doses, and to reducing and managing uncertainty. In this context, this paper reviews difficulties in terminology, explores the nature of Berkson and classical uncertainties in dose reconstruction through examples, and proposes a path forward for Joint Coordinating Committee for Radiation Effects Research (JCCRER) Project 2.4 that requires a reasonably small level of effort for DOSES-2008.

[1]  E K Vasilenko,et al.  MAYAK FILM DOSIMETER RESPONSE STUDIES, PART I: MEASUREMENTS , 2007, Health physics.

[2]  M Smetanin,et al.  MAYAK FILM DOSIMETER RESPONSE STUDIES, PART III: APPLICATION TO WORKER DOSE ASSESSMENT , 2007, Health physics.

[3]  S. Standard GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT , 2006 .

[4]  F. O. Hoffman,et al.  Shared Uncertainty in Measurement Error Problems, with Application to Nevada Test Site Fallout Data , 2007, Biometrics.

[5]  Igor Burstyn,et al.  Attenuation in risk estimates in logistic and Cox proportional-hazards models due to group-based exposure assessment strategy. , 2005, The Annals of occupational hygiene.

[6]  B G Armstrong,et al.  Effect of measurement error on epidemiological studies of environmental and occupational exposures. , 1998, Occupational and environmental medicine.

[7]  V Vostrotin,et al.  MAYAK WORKER DOSIMETRY STUDY: AN OVERVIEW , 2007, Health physics.

[8]  D. J. Strom,et al.  Determining parameters of lognormal distributions from minimal information. , 2000, AIHAJ : a journal for the science of occupational and environmental health and safety.

[9]  Daniel O Stram,et al.  Power and Uncertainty Analysis of Epidemiological Studies of Radiation-Related Disease Risk in which Dose Estimates are Based on a Complex Dosimetry System: Some Observations , 2003, Radiation research.

[10]  J. Aitchison,et al.  The Lognormal Distribution. , 1958 .

[11]  R D Daniels,et al.  Bias and uncertainty of penetrating photon dose measured by film dosemeters in an epidemiological study of US nuclear workers. , 2005, Radiation protection dosimetry.

[12]  V. Khokhryakov,et al.  UNCERTAINTIES ANALYSIS FOR THE PLUTONIUM DOSIMETRY MODEL, DOSES-2005, USING MAYAK BIOASSAY DATA , 2007, Health physics.

[13]  S C Darby,et al.  Some aspects of measurement error in explanatory variables for continuous and binary regression models. , 1998, Statistics in medicine.

[14]  D. Stram,et al.  Correcting for exposure measurement error in a reanalysis of lung cancer mortality for the Colorado Plateau Uranium Miners cohort. , 1999, Health physics.

[15]  E K Vasilenko,et al.  MAYAK FILM DOSIMETER RESPONSE STUDIES, PART II: RESPONSE MODELS , 2007, Health physics.

[16]  B G Armstrong,et al.  The effects of measurement errors on relative risk regressions. , 1990, American journal of epidemiology.

[17]  D. Thomas,et al.  Exposure measurement error: influence on exposure-disease. Relationships and methods of correction. , 1993, Annual review of public health.

[18]  G Miller,et al.  Comparison of dose estimation from occupational exposure to 239Pu using different modelling approaches. , 2007, Radiation protection dosimetry.

[19]  Technical Systems Film Badge Dosimetry in Atmospheric Nuclear Tests , 1989 .

[20]  F. O. Hoffman,et al.  Semiparametric Regression Modeling with Mixtures of Berkson and Classical Error, with Application to Fallout from the Nevada Test Site , 2002, Biometrics.

[21]  Helmut Küchenhoff,et al.  Effect of Berkson measurement error on parameter estimates in Cox regression models , 2007, Lifetime data analysis.

[22]  Barry N. Taylor,et al.  Guidelines for Evaluating and Expressing the Uncertainty of Nist Measurement Results , 2017 .

[23]  S. Miller,et al.  UNCERTAINTIES ANALYSIS OF DOSES RESULTING FROM CHRONIC INHALATION OF PLUTONIUM AT THE MAYAK PRODUCTION ASSOCIATION , 2005, Health physics.

[24]  Roger Frost,et al.  International Organization for Standardization (ISO) , 2004 .

[25]  Ethel S Gilbert,et al.  Some Statistical Implications of Dose Uncertainty in Radiation Dose–Response Analyses , 2006, Radiation research.

[26]  Daniel J. Strom Special Session on Internal Dose at HPS Meeting in Portland , 2007 .

[27]  Robert D. Daniels,et al.  Risk of Chronic Myeloid and Acute Leukemia Mortality after Exposure to Ionizing Radiation among Workers at Four U.S. Nuclear Weapons Facilities and a Nuclear Naval Shipyard , 2007, Radiation research.

[28]  D. J. Brenner Conversion Coefficients for Use in Radiological Protection against External Radiation , 1999 .

[29]  E Blanchardon,et al.  Uncertainties in doses from intakes of radionuclides assessed from monitoring measurements. , 2006, Radiation protection dosimetry.

[30]  Bruce A. Napier,et al.  Assessment of Various Types of Uncertainty in the Techa River Dosimetry System , 2008 .

[31]  K Steenland,et al.  Biases in estimating the effect of cumulative exposure in log-linear models when estimated exposure levels are assigned. , 2000, Scandinavian journal of work, environment & health.

[32]  Elisabeth Cardis,et al.  A Monte Carlo Maximum Likelihood Method for Estimating Uncertainty Arising from Shared Errors in Exposures in Epidemiological Studies of Nuclear Workers , 2007, Radiation research.

[33]  E. S. Gilbert,et al.  The 15-Country Collaborative Study of Cancer Risk among Radiation Workers in the Nuclear Industry: Study of Errors in Dosimetry , 2007, Radiation research.

[34]  K F Eckerman,et al.  ADAPTATION OF THE ICRP PUBLICATION 66 RESPIRATORY TRACT MODEL TO DATA ON PLUTONIUM BIOKINETICS FOR MAYAK WORKERS , 2005, Health physics.