Optimal Designs for Multi-Exponential Models with Covariance Structure
thesisposted on 24.10.2013 by Jiewei Zeng
In order to distinguish essays and pre-prints from academic theses, we have a separate category. These are often much longer text based documents than a paper.
This 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.