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Extrapolation cause-effect chain

The above example illustrates the inherent problems that can arise in the use of standardised protocols for assessing chemicals naturally occurring in the food chain. Had work on comparative metabolism and pharmacokinetics been undertaken before any animal bioassay work, it could have given more useful information. The extrapolation of effects obtained in high-dose animal studies to a large number of people exposed to a low dose is not the most effective use of resources. Nor are such experiments consistent with biological reality. There are few chemicals that would not cause illness or death if the daily intake was increased some 100-1000 fold as is the situation in many... [Pg.230]

What is the order of handling extrapolation problems Following the cause-to-effect chain of events, for example, (Q)SARs first, then matrix and media, and then mixture assessment. [Pg.319]


See other pages where Extrapolation cause-effect chain is mentioned: [Pg.310]    [Pg.321]    [Pg.50]    [Pg.573]    [Pg.55]    [Pg.134]    [Pg.76]    [Pg.14]    [Pg.211]    [Pg.27]    [Pg.615]    [Pg.376]    [Pg.928]    [Pg.124]    [Pg.151]    [Pg.174]    [Pg.712]    [Pg.264]    [Pg.280]    [Pg.65]   
See also in sourсe #XX -- [ Pg.321 ]




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