Journal article
Correlating point‐referenced radon and areal uranium data arising from a common spatial process
Journal of the Royal Statistical Society: Series C (Applied Statistics), Vol.56(3), pp.313-326
05/2007
DOI: 10.1111/j.1467-9876.2007.00579.x
Abstract
Because exposure to radon gas in buildings is a likely risk factor for lung cancer, estimation of residential radon levels is an important public health endeavour. Radon originates from uranium, and therefore data on the geographical distribution of uranium in the Earth's surface may inform about radon levels. We fit a Bayesian geostatistical model that appropriately combines data on uranium with measurements of indoor home radon in the state of Iowa, thereby obtaining more accurate and precise estimation of the geographic distribution of average residential radon levels than would be possible by using radon data alone.
Details
- Title: Subtitle
- Correlating point‐referenced radon and areal uranium data arising from a common spatial process
- Creators
- Brian J SmithMary Kathryn Cowles
- Resource Type
- Journal article
- Publication Details
- Journal of the Royal Statistical Society: Series C (Applied Statistics), Vol.56(3), pp.313-326
- Publisher
- Blackwell Publishing Ltd; Oxford, UK
- DOI
- 10.1111/j.1467-9876.2007.00579.x
- ISSN
- 0035-9254
- eISSN
- 1467-9876
- Number of pages
- 14
- Language
- English
- Date published
- 05/2007
- Academic Unit
- Statistics and Actuarial Science; Holden Comprehensive Cancer Center; Biostatistics
- Record Identifier
- 9983985936802771
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