Bayesian Statistical Methods for Bioassay, Radiochemistry, and Internal Dosimetry

On November 13 and 14, 1997, the U.S. Department of Energy (DOE) Office of Worker Protection Programs and Hazards Management (EH-52) (now the Office of Worker Safety and Health Policy (HSS-14)) sponsored a workshop entitled "Bayesian Statistical Methods for Bioassay, Radiochemistry, and Internal Dosimetry" in conjunction with the 43rd Annual Conference on Bioassay, Analytical and Environmental Radiochemistry in Charleston, South Carolina. The workshop was organized by Dan Strom of Pacific Northwest National Laboratory. Dan's activities are part of the Environment, Safety, and Health Systems product line at PNNL.  Persons interested in application of Bayesian statistics to these problems are urged to visit the Bioassay and Internal Dosimetry Users Group (BIDUG) web.

The program of the workshop included speakers from academia, the DOE national laboratories, and private industry. The subject of the workshop was the use of Bayesian methods in inferential statistics, with a particular emphasis on interpretation of bioassay data. For several years the internal dosimetry group at the Los Alamos National Laboratory (LANL) has been using these methods. As yet, there is no consensus within the DOE community on the validity of the approach in this particular application.

• Background
• Workshop Program
• Recent Developments in Bayesian Statistics for Interpretation of Bioassay Data

Handout materials include

• Bayesian Statistics Lecture Notes (Don Berry's Slides)
• Bayesian Analysis of Internal Dosimetry Problems (Tom LaBone's Slides)
• Analyzing Bioassay Data Using Bayesian Methods -- A Primer by Guthrie Miller, William C. Inkret, and Mario E. Schillaci
• Bayesian Software Package   by Guthrie Miller
• Los Alamos National Laboratory Center for Application of Bayesian Statistical Methods to Bioassay, Radiochemistry, and Internal Dosimetry -- this site has post-workshop developments by workshop presenters

Links

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