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Robust D-Optimal Design for Response Functions with a Downturn

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dc.description.abstract Researchers studying dose-response relationships must allocate limited resources to design points in order to maximize the information gained from the study. D-optimal design is a well-described design that works efficiently to study model parameters. In order to find the D-optimal design, the model that describes the dose-response relationship has to be known. In cases where dose-response relationships show a downturn at high doses, scientists sometimes ignore the downturn to study only the increasing part of the response curve. Here we have two model choices; one describes the overall dose-response relationship, and the other describes only the increasing part of the response curve. The D-optimal designs for these two models will be different and the D-optimal design for one model may not work efficiently for the other model. This research studies robust D-optimal design, a design that works efficiently for both models. en_US
dc.title Robust D-Optimal Design for Response Functions with a Downturn en_US
dc.date.accessioned 2013-06-26T17:20:32Z
dc.date.available 2013-06-26T17:20:32Z
dc.date.issued 2013-06-26
dc.identifier.uri http://hdl.handle.net/10365/23031
dc.thesis.degree Paper (M.S.)--North Dakota State University, 2013. en_US
dc.contributor.advisor Hyun, Seung Won
dc.subject.lcsh Drugs -- Dose-response relationship. en_US
dc.subject.lcsh Optimal designs (Statistics)
dc.subject.lcsh Experimental design.
dc.subject.lcsh Parameter estimation.
dc.creator.author Carter, Jessica Anne
dc.degree.departmentCollege Master of Science / Statistics, College of Science and Mathematics, 2013.
dc.date.created 2013

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