Efficient Design Of Biological Experiments For Dose-Response Modeling In Nanomaterial Toxicology Studies

This thesis is concerned with developing two-stage Bayesian optimum design procedure in nanotoxicology with simulation experiments. The proposed design method adopts suitable nonlinear dose response curve and non-constant variance model in experimental modeling, which more adequately represents the desirable properties of bioassay-experiment. A multiple objective genetic algorithm were used to select best set of non-dominated experiments on Pareto front. The proposed approach has been shown to provide better design than traditional experiment method in terms of D-optimum design and A-optimum design.

Name thesis:degree_name

MS

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Industrial and Managements Systems Engineering

Year dc:date.available

2011

Author dc:creator

• Wang, Kai

Contributors dc:contributor

• Feng Yang
• Robert Creese
• Majid Jaridi

• Industrial engineering

Identifier

https://researchrepository.wvu.edu/etd/483

OAI identifier oai:identifier

oai:researchrepository.wvu.edu:etd-1486