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Optimal Designs for Multi-Exponential Models with Covariance Structure
thesis
posted on 2013-10-24, 00:00 authored by Jiewei ZengThis article focuses on the number of support points in the optimal design class for multi-exponential regression models. A special design setup is proposed which allows different starting points for each subject. It serves as a useful tool when subjects have different timelines and offers more flexibilities compared to the usual clinical designs. Autocorrelated covariance structure is accommodated to address the correlations among different observations for a single subject. The upper bounds of the cardinality of design support have been determined for one-compartment PK model and bi-exponential model.
History
Advisor
Hedayat, SamadDepartment
Mathematics, Statistics, and Computer ScienceDegree Grantor
University of Illinois at ChicagoDegree Level
- Doctoral
Committee Member
Yang, Min Wang, Jing Yang, Jie Freels, SallySubmitted date
2013-08Language
- en
Issue date
2013-10-24Usage metrics
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