JSM 2005 Online Program

Abstract #303659

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	350
Type:	Topic Contributed
Date/Time:	Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Section on Bayesian Statistical Science
Abstract - #303659
Title:	Modeling the Distribution of Environmental Radon Levels in Iowa: Combining Multiple Sources of Spatially Misaligned Data
Author(s):	Brian J. Smith*+
Companies:	The University of Iowa
Address:	Department of Biostatistics, Iowa City, IA, 52246, United States
Keywords:	Bayesian methods ; Geostatistical modeling ; Kriging ; Markov chain Monte Carlo ; Radon
Abstract:	Environmental radon is a radioactive gas that originates from uranium found in rocks and soil. It is present to some extent in all dry-land surface air. The decay products of radon emit alpha particles that are potentially harmful to lung tissue. There are several existing databases that provide information about the spatial distribution of radon. Unfortunately, the support over which the available data were collected may differ. We develop a fully Bayesian kriging approach that combines regional and point-referenced data to model the spatiotemporal distribution of radon concentrations in Iowa. The regional data consist of county-specific surficial uranium concentrations from the aerial radiometric data of the National Uranium Resource Evaluation. The point-referenced data include indoor and outdoor radon concentrations measured at fixed monitoring sites in the Iowa Radon Lung Cancer Study.

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