This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 303
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Bayesian Statistical Science
Abstract - #306686
Title: Nonparametric Bayesian Estimation of an Unknown Dose
Author(s): Bahman Shafii*+ and William James Price
Companies: University of Idaho and University of Idaho
Address: P.O.Box 442337, Moscow, ID, 83844-2337,
Keywords: Dose-response ; Standard curve ; Bayesian methods
Abstract:

Estimation of unknown dose levels in experimental samples is an important aspect of many biological and environmental studies. Such measurements are often made utilizing a standard dose-response curve. This methodology compares the biological response of a target organism at known dosages to the response of the same organism exposed to an unknown sample. The form and choice of the standard curve, however, is subjective and can influence the estimation of the unknown dose. Problems may also arise when incomplete or preliminary information is available for determining the standard curve. One means of reducing the effects of these problems is to use a more generalized nonparametric estimation approach. This work will outline a method based on a Bayesian nonparametric standard curve estimation technique, with applications demonstrated using data from a herbicide dose-response trial.


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