Statistically testable parameter drug interaction modeling

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Title Statistically testable parameter drug interaction modeling
Publication Type dissertation
School or College College of Pharmacy
Department Pharmaceutics & Pharmaceutical Chemistry
Author Fidler, Matthew Larry
Date 2006-05
Description The purpose of this research is to (1) produce a model allowing statistical tests of interaction behavior, (2) assess the model's difference from classical interactions, (3) compare to previous models, (4) find an experimental design to determine the drug ratio of most interaction, and (5) apply the model to a dataset that samples a scope of data where 50% of one drug is not achieved. The proposed model or STP model gives fits similar in its ability to describe data observed to a polynomial model described by Minto. The model introduces statistically testable summary parameters (STP) for interactions, best ratio for maximum interaction, change in Hill slope, and change in maximum effect. The differences in classification between STP interactions and traditional interactions are small. The STP model can approximate Finney, Single Hill Constant and Minto models. The drug ratio giving the most interaction can be estimated by administering set ratios of drugs to at least 10 patients. Without sampling data including the 50% effect of one drug, interaction statements are difficult to make with the STP model alone. Still, the STP model adequately predicts the interaction surfaces.
Type Text
Publisher University of Utah
Subject Mathematical Models; Drug Interactions
Subject MESH Mathematics; Drug Interactions
Dissertation Institution University of Utah
Dissertation Name PhD
Language eng
Relation is Version of Digital reproduction of "Statistically testable parameter drug interaction modeling." Spencer S. Eccles Health Sciences Library. Print version of "Statistically testable parameter drug interaction modeling." available at J. Willard Marriott Library Special Collection. RM31.5 2006 .F53.
Rights Management © Matthew Larry Fidler.
Format application/pdf
Format Medium application/pdf
Format Extent 6,311,416 bytes
Identifier undthes,4776
Source Original: University of Utah Spencer S. Eccles Health Sciences Library (no longer available).
Funding/Fellowship Fellowship from the American Foundation of Pharmaceutical Education (AFPE) and The Huguchi and Kuromoto Fellowship.
Master File Extent 6,311,447 bytes
ARK ark:/87278/s63b61xp
Setname ir_etd
ID 190939
Reference URL https://collections.lib.utah.edu/ark:/87278/s63b61xp
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