Difference between revisions of "Dose Response"

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             <li><a href="http://wiki.camra.msu.edu/index.php?title=Dose_response_assessment">What is Dose Response?</a></li>
 
             <li><a href="http://wiki.camra.msu.edu/index.php?title=Dose_response_assessment">What is Dose Response?</a></li>
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             <li><a href="http://wiki.camra.msu.edu/index.php?title=Table_of_Recommended_Best-Fit_Parameters">Recommended Best-Fit Parameters</a></li>
 
             <li><a href="http://wiki.camra.msu.edu/index.php?title=Category%3ACompleted_Dose_Response_Models%3A_Bacteria">Completed Dose Response Models</a></li>
 
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             <li><a href="http://wiki.camra.msu.edu/index.php?title=Dose_Response_Mathematical_%26_Statistical_Approaches_Summary">Mathematical &amp; Statistical Approaches</a></li>   
 
             <li><a href="http://wiki.camra.msu.edu/index.php?title=Dose_Response_Mathematical_%26_Statistical_Approaches_Summary">Mathematical &amp; Statistical Approaches</a></li>   

Revision as of 15:17, 26 November 2012

What is dose response?

In the QMRA framework, the dose response assessment phase is an essential quantitative element of the risk estimate. It estimates the risk of a response (for example, infection, illness or death) given a known dose of a pathogen. Dose response models are mathematical functions that describe the dose response relationship for specific pathogens, transmission routes, and hosts.

Dose Response Equations

In general, we use the exponential model and the beta-Poisson model to describe dose response relationships. The slope of the beta-Poisson dose response curve is more shallow than the exponential. The exponential model has one parameter and is a special case of the beta-Poisson model (which has two parameters).

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