2018
DOI: 10.5336/biostatic.2017-58451
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A Note on Pharmacokinetics Modelling of Theophylline Concentration Data on Patients with Respiratory Diseases

Abstract: Pharmacokinetics which describes the time course of drug absorption, distribution, metabolism, and excretion in the body is critical in formulating drug therapy. Nonlinear Mixed Effects (NLME) models are popularly used in many longitudinal studies, including human immunodeficiency viral dynamics, pharmacokinetic analyses, and studies of growth and decay.This work aimed to develop efficient NLME models for analyzing Theophylline concentration data within the pharmacokinetics framework. The data consisted of The… Show more

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Cited by 5 publications
(6 citation statements)
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References 24 publications
(35 reference statements)
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“…Perhaps, the PSO or GA could be used to locate set of points that evolve to optimal global, then, a gradient based method that would accurately locate the deep local minimum. Future studies could also explore the usage of the PSO and GA techniques to solve optimization problems arising from other form of models such as nonlinear mixed effects models (Adeniyi et al, 2018), generalized mixed effects models (Ezenweke et al, 2022a), geo-spatial structured additive models (Ezenweke et al, 2022b)…”
Section: Discussionmentioning
confidence: 99%
“…Perhaps, the PSO or GA could be used to locate set of points that evolve to optimal global, then, a gradient based method that would accurately locate the deep local minimum. Future studies could also explore the usage of the PSO and GA techniques to solve optimization problems arising from other form of models such as nonlinear mixed effects models (Adeniyi et al, 2018), generalized mixed effects models (Ezenweke et al, 2022a), geo-spatial structured additive models (Ezenweke et al, 2022b)…”
Section: Discussionmentioning
confidence: 99%
“…The models were fitted based on the mixed effects model methodology (Fahrmeir et al, 2013;Adeniyi et al, 2018) in which the variance components are considered as unknown constants and estimated from their marginal likelihood. The regression coefficients are estimated from the penalized likelihood using restricted maximum likelihood technique through a modified Fisher scoring algorithm (Harville, 1977;Fahrmeir et al, 2004).…”
Section: Data Analysis Techniquesmentioning
confidence: 99%
“…The models were fitted based on the mixed effects model methodology (Fahrmeir et al, 2013;Adeniyi et al, 2018) in which the variance components are considered as unknown constants and estimated from their marginal likelihood. The regression coefficients are estimated from the penalized likelihood using restricted maximum likelihood technique through a modified Fisher scoring algorithm (Harville, 1977;Fahrmeir et al, 2004).…”
Section: Data Analysis Techniquesmentioning
confidence: 99%