The statistical research underlying this paper is described in the paper, "Analysis of local decisions using hierarchical modeling, applied to home radon measurement and remediation," by Chia-Yu Lin, Andrew Gelman, Phillip N. Price, and David H. Krantz, which appeared in the journal Statistical Science in 1999, with discussion and rejoinder. The pre-publication version of this paper is available for download in PostScript format or in pdf format.
Radon data were collected by a large number of people in individual state health departments and at the Environmental Protection Agency (EPA). Analysis of radon at Lawrence Berkeley National Laboratory (LBNL) was funded by the EPA and the Department of Energy (DOE). The U.S. Geological Survey (USGS) collected and provided surface-soil radiation measurement data and other geologic information. Climate information from the National Oceanic and Atmospheric Administration (NOAA) were also used. It's clearly impractical to list everyone who was involved in funding the project or in collecting and analyzing the data, but a few names in addition to Andrew Gelman and Phil Price are: Frank Marcinowski (EPA), Susan Rose (DOE), Tony Nero, Ken Revzan, and Mike Apte (all LBNL), John Boscardin (U.C. Berkeley), and Linda Gundersen and Randy Schumann (USGS).
Although the research that went into this web site was funded by, and performed for, the agencies listed above, this web site itself is not endorsed by them and our advice differs from the EPA's advice, which is the official stance of the U.S. government.