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Confidence limits on one-stage model parameters in benchmark risk assessment |
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| Authors: | Brooke E Buckley Walter W Piegorsch R Webster West | ||
| Institution: | (1) Department of Mathematics, Northern Kentucky University, Highland Heights, KY 41099, USA;(2) Department of Mathematics, BIO5 Institute, University of Arizona, Tucson, AZ 85721, USA;(3) Department of Statistics, 3143 TAMU, Texas A&M University, College Station, TX 77843, USA | ||
| Abstract: | In modern environmental risk analysis, inferences are often desired on those low dose levels at which a fixed benchmark risk
is achieved. In this paper, we study the use of confidence limits on parameters from a simple one-stage model of risk historically
popular in benchmark analysis with quantal data. Based on these confidence bounds, we present methods for deriving upper confidence
limits on extra risk and lower bounds on the benchmark dose. The methods are seen to extend automatically to the case where
simultaneous inferences are desired at multiple doses. Monte Carlo evaluations explore characteristics of the parameter estimates
and the confidence limits under this setting.
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| Keywords: | Benchmark dose Bootstrap Resampling Environmental risk analysis Quantal dose response Quantitative risk assessment Simultaneous inferences Weibull Dose– response model | ||
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