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A distributed delay approach for modeling delayed outcomes in pharmacokinetics and pharmacodynamics studies
by
Dunlavey, Michael
, Hu, Shuhua
, Guzy, Serge
, Teuscher, Nathan
in
Control theory
/ HIV
/ Human immunodeficiency virus
/ Infections
/ Lymphocytes
/ Ordinary differential equations
/ Pharmacodynamics
/ Pharmacokinetics
/ Physiology
/ Present value
/ Viral infections
2018
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A distributed delay approach for modeling delayed outcomes in pharmacokinetics and pharmacodynamics studies
by
Dunlavey, Michael
, Hu, Shuhua
, Guzy, Serge
, Teuscher, Nathan
in
Control theory
/ HIV
/ Human immunodeficiency virus
/ Infections
/ Lymphocytes
/ Ordinary differential equations
/ Pharmacodynamics
/ Pharmacokinetics
/ Physiology
/ Present value
/ Viral infections
2018
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Do you wish to request the book?
A distributed delay approach for modeling delayed outcomes in pharmacokinetics and pharmacodynamics studies
by
Dunlavey, Michael
, Hu, Shuhua
, Guzy, Serge
, Teuscher, Nathan
in
Control theory
/ HIV
/ Human immunodeficiency virus
/ Infections
/ Lymphocytes
/ Ordinary differential equations
/ Pharmacodynamics
/ Pharmacokinetics
/ Physiology
/ Present value
/ Viral infections
2018
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A distributed delay approach for modeling delayed outcomes in pharmacokinetics and pharmacodynamics studies
Journal Article
A distributed delay approach for modeling delayed outcomes in pharmacokinetics and pharmacodynamics studies
2018
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Overview
A distributed delay approach was proposed in this paper to model delayed outcomes in pharmacokinetics and pharmacodynamics studies. This approach was shown to be general enough to incorporate a wide array of pharmacokinetic and pharmacodynamic models as special cases including transit compartment models, effect compartment models, typical absorption models (either zero-order or first-order absorption), and a number of atypical (or irregular) absorption models (e.g., parallel first-order, mixed first-order and zero-order, inverse Gaussian, and Weibull absorption models). Real-life examples were given to demonstrate how to implement distributed delays in Phoenix® NLME™ 8.0, and to numerically show the advantages of the distributed delay approach over the traditional methods.
Publisher
Springer Nature B.V
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