Monday, Aug 5: 12:30 PM - 1:50 PM
3576
Roundtables – Lunch
Oregon Convention Center
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.
effective dose
nonlinear model
dose-response model
constrained inference
Main Sponsor
Section on Teaching of Statistics in the Health Sciences