Iowa radon leukaemia study: a hierarchical population risk model for spatially correlated exposure measured with error

Details

• Personal Author:
  Field RW ; Smith BJ ; Zhang L
• Description:
  This paper presents a Bayesian model that allows for the joint prediction of county-average radon levels and estimation of the associated leukaemia risk. The methods are motivated by radon data from an epidemiologic study of residential radon in Iowa that include 2726 outdoor and indoor measurements. Prediction of county-average radon is based on a geostatistical model for the radon data which assumes an underlying continuous spatial process. In the radon model, we account for uncertainties due to incomplete spatial coverage, spatial variability, characteristic differences between homes, and detector measurement error. The predicted radon averages are, in turn, included as a covariate in Poisson models for incident cases of acute lymphocytic (ALL), acute myelogenous (AML), chronic lymphocytic (CLL), and chronic myelogenous (CML) leukaemias reported to the Iowa cancer registry from 1973 to 2002. Since radon and leukaemia risk are modelled simultaneously in our approach, the resulting risk estimates accurately reflect uncertainties in the predicted radon exposure covariate. Posterior mean (95 per cent Bayesian credible interval) estimates of the relative risk associated with a 1 pCi/L increase in radon for ALL, AML, CLL, and CML are 0.91 (0.78-1.03), 1.01 (0.92-1.12), 1.06 (0.96-1.16), and 1.12 (0.98-1.27), respectively. [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Safety
• Keywords:
  Author Keywords: Bayesian Methods Cancer Carcinogens Epidemiology Humans Leukaemia Risk Markov Chain Monte Carlo Men Models Poisson Regression Residential Radon Exposure Risk-factors Spatial Statistics Statistical-analysis Women

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• ISSN:
  0277-6715
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Iowa ; OSHA Region 7
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  26
• Issue:
  25
• NIOSHTIC Number:
  nn:20040686
• Citation:
  Stat Med 2007 Nov; 26(25):4619-4642
• Contact Point Address:
  Brian J. Smith, Department of Biostatistics, The University of Iowa, 200 Hawkins Drive, C22 GH, Iowa City, IA 52242-1009
• Email:
  brian-j-smith@uiowa.edu
• CAS Registry Number:
  Radon (CAS RN 10043-92-2)
• Federal Fiscal Year:
  2008
• Performing Organization:
  University of Iowa
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Statistics in Medicine
• End Date:
  20290630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:e91c72e10398469c97b9ef271e943a98bf11ec7650e3abd1f8a8249a42af79dab154d56d17d432933eb84b711056c6074f81e1a68877512bfea090c515db7e60
• Download URL:
  https://stacks.cdc.gov/view/cdc/193474/cdc_193474_DS1.pdf
• File Type:
  [PDF - 277.69 KB ]