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The major research directions for nonlinear dose-response modeling

Abstract Number:

3576 

Submission Type:

Roundtable Abstract 

Roundtable Type:

Lunch Roundtable 

Participants:

David Farrar (1)

Institutions:

(1) N/A, N/A

First Author:

David Farrar  
N/A

Presenting Author:

David Farrar  
N/A

Abstract Text:

An effective dose in a health sciences context is a dose just large enough for a specified statistical effect on a response of interest (which may be beneficial or harmful). Effective doses inferred using nonlinear statistical models are subject to familiar types of modeling, inference, and numerical issues, including clustering, regularization, separated data, and parameter inequality constraints. The discussion will be initiated with a limited discussion related to chemical or microbial safety assessment; insights related to that and other domains of application will be welcomed.

Keywords:

effective dose|nonlinear model|dose-response model|constrained inference| |

Sponsors:

Section on Teaching of Statistics in the Health Sciences

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