Evaluation of drug absorption by cubic spline and numerical deconvolution

Persistent Link:
http://hdl.handle.net/10150/276954
Title:
Evaluation of drug absorption by cubic spline and numerical deconvolution
Author:
Tsao, Su-Ching, 1961-
Issue Date:
1989
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
A novel approach using smoothing cubic splines and point-area deconvolution to estimate the absorption kinetics of linear systems has been investigated. A smoothing cubic spline is employed as an interpolation function since it is superior to polynomials and other functions commonly used for representation of empirical data in several aspects. An advantage of the method is that results obtained from the same data set will be more consistent, irrespective of who runs the program or how many times you run it. In addition, no initial estimates are needed to run the program. The same sampling time or equally spaced measurement of unit impulse response and response of interest is not required. The method is compared with another method by using simulated data containing various degrees of random noise.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Spline theory.; Pharmacokinetics -- Computer programs.; Drugs -- Metabolism -- Statistical methods.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Pharmaceutical Sciences
Degree Grantor:
University of Arizona
Advisor:
Karol, Michael D.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleEvaluation of drug absorption by cubic spline and numerical deconvolutionen_US
dc.creatorTsao, Su-Ching, 1961-en_US
dc.contributor.authorTsao, Su-Ching, 1961-en_US
dc.date.issued1989en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractA novel approach using smoothing cubic splines and point-area deconvolution to estimate the absorption kinetics of linear systems has been investigated. A smoothing cubic spline is employed as an interpolation function since it is superior to polynomials and other functions commonly used for representation of empirical data in several aspects. An advantage of the method is that results obtained from the same data set will be more consistent, irrespective of who runs the program or how many times you run it. In addition, no initial estimates are needed to run the program. The same sampling time or equally spaced measurement of unit impulse response and response of interest is not required. The method is compared with another method by using simulated data containing various degrees of random noise.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectSpline theory.en_US
dc.subjectPharmacokinetics -- Computer programs.en_US
dc.subjectDrugs -- Metabolism -- Statistical methods.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplinePharmaceutical Sciencesen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorKarol, Michael D.en_US
dc.identifier.proquest1336356en_US
dc.identifier.oclc22448685en_US
dc.identifier.bibrecord.b17429547en_US
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