Document Detail


A method for estimating occupational radiation doses subject to minimum detection levels.
MedLine Citation:
PMID:  12498518     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Occupational radiation exposure is often coded as zero when the exposure dose is below the minimum detection level. This leads to an underestimation of the doses received by individuals and can lead to overestimates of risk in occupational epidemiologic studies. The extent of the dose underestimation is increased with the magnitude of the minimum detection level and the frequency of monitoring. The paper proposes a Bayesian approach to estimate the actual dose and the dose distribution parameter when the observed dose is subject to censoring due to minimum detection level. A Gibbs sampling algorithm is developed to implement the method. Simulation studies are used to evaluate the performance of the estimators. The method is applied to a sample of historical occupational radiation exposure data from the Oak Ridge National Laboratory.
Authors:
Xiaonan Xue; Roy E Shore
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Health physics     Volume:  84     ISSN:  0017-9078     ISO Abbreviation:  Health Phys     Publication Date:  2003 Jan 
Date Detail:
Created Date:  2002-12-24     Completed Date:  2003-01-10     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  2985093R     Medline TA:  Health Phys     Country:  United States    
Other Details:
Languages:  eng     Pagination:  61-71     Citation Subset:  IM    
Affiliation:
Division of Epidemiology and Biostatistics, Department of Environmental Medicine, New York University Medical Center, 650 1st Avenue, 5th floor, New York, NY 10016, USA. xiaonan.xue@med.nyu.edu
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MeSH Terms
Descriptor/Qualifier:
Bayes Theorem
Computer Simulation
Humans
Models, Theoretical*
Occupational Exposure*
Radiation Monitoring*
Radiometry*
Grant Support
ID/Acronym/Agency:
1R01 CCR215746/CC/CDC HHS; ES-00260/ES/NIEHS NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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