Document Detail


Low-dose-rate extrapolation using the multistage model.
MedLine Citation:
PMID:  6671125     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The distribution of the maximum likelihood estimates of virtually safe levels of exposure to environmental chemicals is derived by using large-sample theory and Monte Carlo simulation according to the Armitage-Doll multistage model. Using historical dose-response we develop a set of 33 two-stage models upon which we base our conclusions. The large-sample distributions of the virtually safe dose are normal for cases in which the multistage-model parameters have nonzero expectation, and are skewed in other cases. The large-sample theory does not provide a good approximation of the distribution observed for small bioassays when Monte Carlo simulation is used. The constrained nature of the multistage-model parameters leads to bimodal distributions for small bioassays. The two modes are the direct result of estimating the linear parameter in the multistage model; the lower mode results from estimating this parameter to be nonzero, and the upper mode from estimating it to be zero. The results of this research emphasize the need for incorporation of the biological theory in the model-selection process.
Authors:
C Portier; D Hoel
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Biometrics     Volume:  39     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  1983 Dec 
Date Detail:
Created Date:  1984-05-24     Completed Date:  1984-05-24     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  897-906     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Biological Assay
Environmental Pollution*
Humans
Models, Biological*
Risk
Safety

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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