University of Illinois Chicago
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Optimal Designs for Multi-Exponential Models with Covariance Structure

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posted on 2013-10-24, 00:00 authored by Jiewei Zeng
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.

History

Advisor

Hedayat, Samad

Department

Mathematics, Statistics, and Computer Science

Degree Grantor

University of Illinois at Chicago

Degree Level

  • Doctoral

Committee Member

Yang, Min Wang, Jing Yang, Jie Freels, Sally

Submitted date

2013-08

Language

  • en

Issue date

2013-10-24

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