Date of Graduation
2016
Document Type
Thesis
Degree Type
MS
College
Statler College of Engineering and Mineral Resources
Department
Industrial and Managements Systems Engineering
Committee Chair
Feng Yang
Committee Co-Chair
Majid Jaridi
Committee Member
Robert Mnatsakanov
Abstract
The objective of this study is to model in-vivo propranolol plasma concentration after administrating oral propranolol extended-release (ER) tablets. In-vivo data are typically expensive and scarce. To save time and cost needed to achieve high-quality in- vivo profile, this work utilizes both in-vitro and in-vivo data.;The ensemble of in-vitro and in-vivo data is modeled by stochastic kriging with qualitative factors (SKQ). It treats in-vivo and in-vitro as the two distinct levels of a qualitative factor. By synergistically modeling both types of data, SKQ is able to provide fitted in-vivo profiles whose quality is much higher than those obtained from modeling in-vivo data alone.
Recommended Citation
Dehghan, Behnam, "Synergistic Modeling of in-vitro and in-vivo data via Stochastic Kriging with Qualitative Factors (SKQ)" (2016). Graduate Theses, Dissertations, and Problem Reports. 5461.
https://researchrepository.wvu.edu/etd/5461
