title: Benchmark analysis: shopping with proper confidence.
abstract: 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.
authors.affiliation: Department of Statistics, University of South Carolina, Columbia, SC 29208, USA. piegorsc@stat.sc.edu
authors.forename: Walter W
authors.initials: WW
authors.lastname: Piegorsch
authors.forename: R Webster
authors.initials: RW
authors.lastname: West
mesh_terms: 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
chemical_list: D002273:Carcinogens; D004785:Environmental Pollutants; D016604:Aflatoxin B1