Bootstrap methods for simultaneous benchmark analysis with quantal response data.
Bootstrap methods for simultaneous benchmark analysis with quantal response data.
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DOI：
10.1007/s10651-007-0073-5
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发表时间：
2009-03-01
影响因子：
3.8
通讯作者：
Piegorsch, Walter W.
中科院分区：
文献类型：
--
作者：
West, R. Webster;Nitcheva, Daniela K.;Piegorsch, Walter W.
关键词：
A primary objective in quantitative risk assessment is the characterization of risk which is defined to be the likelihood of an adverse effect caused by an environmental toxin or chemcial agent. In modern risk-benchmark analysis, attention centers on the “benchmark dose” at which a fixed benchmark level of risk is achieved, with a lower confidence limits on this dose being of primary interest. In practice, a range of benchmark risks may be under study, so that the individual lower confidence limits on benchmark dose must be corrected for simultaneity in order to maintain a specified overall level of confidence. For the case of quantal data, simultaneous methods have been constructed that appeal to the large sample normality of parameter estimates. The suitability of these methods for use with small sample sizes will be considered. A new bootstrap technique is proposed as an alternative to the large sample methodology. This technique is evaluated via a simulation study and examples from environmental toxicology.
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影响因子：
3.8
作者：
CRUMP, KS
通讯作者：
CRUMP, KS
DOI：
10.1080/10629360500107808
发表时间：
2006-05-01
影响因子：
1.2
作者：
Piegorsch, WW;Nitcheva, DK;West, RW
通讯作者：
West, RW
影响因子：
4.3
作者：
GUESS, HA;CRUMP, KS
通讯作者：
CRUMP, KS
影响因子：
10.4
作者：
Portier CJ
通讯作者：
Portier CJ
影响因子：
3.8
作者：
BAILER, AJ;SMITH, RJ
通讯作者：
SMITH, RJ