Confidence limits on one-stage model parameters in benchmark risk assessment.
Confidence limits on one-stage model parameters in benchmark risk assessment.
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DOI：
10.1007/s10651-007-0076-2
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发表时间：
2009-03-01
影响因子：
3.8
通讯作者：
West, R. Webster
中科院分区：
文献类型：
--
作者：
Buckley, Brooke E.;Piegorsch, Walter W.;West, R. Webster
关键词：
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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影响因子：
1.8
作者：
Agresti, A;Coull, BA
通讯作者：
Coull, BA
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CRUMP, KS
通讯作者：
CRUMP, KS
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通讯作者：
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