Benchmark analysis: shopping with proper confidence.
We discuss the issue of using benchmark doses for quantifying (excess) risk associated with exposure to environmental hazards. The paradigm of low-dose risk estimation in dose-response modeling is used as the primary application scenario. Emphasis is placed on making simultaneous inferences on benchmark doses when data are in the form of proportions, although the concepts translate easily to other forms of outcome data.
Piegorsch
Walter W
WW
Department of Statistics, University of South Carolina, Columbia, SC 29208, USA. piegorsc@stat.sc.edu
West
R Webster
RW
D016604:Aflatoxin B1 / Q000008:administration & dosage / Q000633:toxicity; D000818:Animals; D019985:Benchmarking; D002273:Carcinogens / Q000008:administration & dosage / Q000633:toxicity; D016001:Confidence Intervals; D004781:Environmental Exposure; D004785:Environmental Pollutants / Q000008:administration & dosage / Q000633:toxicity; D006801:Humans; D008114:Liver Neoplasms, Experimental / Q000139:chemically induced; D015233:Models, Statistical; D018570:Risk Assessment
D002273:Carcinogens; D004785:Environmental Pollutants; D016604:Aflatoxin B1