Characterization of U-Shaped Exposure-Response Relationships with Application to a Copper Database

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Creator: 

Milton, Brittany

Date: 

2014

Abstract: 

The need to find an acceptable medium between excess and deficiency motivates the characterization of U-shaped exposure-response relationships. Previous work on a copper(Cu) database employed CatReg to model excess and deficiency conditions separately. Interest lies in simultaneously fitting these conditions. Using binary logistic regression, we have developed a methodology that can be used to simultaneously fit observations from excess and deficiency experiments. Capturing excess and deficiency conditions in one well-defined model facilitates the estimation of a U-shape function, with
concentration on the horizontal axis and the probability of a non-normal reading on the vertical axis. The bottom of this U-shape function represents the dose of Cu associated with the smallest chance of adverse health effects attributed to an excess or deficient Cu condition, or both. For humans, this dose level is estimated to be 2.73 mg Cu/day with an acceptable range of oral intake between 1.57 and 4.46 mg Cu/day.

Subject: 

Statistics

Language: 

English

Publisher: 

Carleton University

Thesis Degree Name: 

Master of Science: 
M.Sc.

Thesis Degree Level: 

Master's

Thesis Degree Discipline: 

Probability and Statistics

Parent Collection: 

Theses and Dissertations

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