We are analyzing https://link.springer.com/article/10.1007/bf01117450.

Title:
Application of Akaike's information criterion (AIC) in the evaluation of linear pharmacokinetic equations | Journal of Pharmacokinetics and Pharmacodynamics
Description:
According to linear pharmacokinetics, the time course of plasma concentration of a drug, Cp,is expressed by a sum of exponential functions, Cp=ε i=1 n ai $$C_p = \sum\nolimits_{i = 1}^n {a_i e^{ - b_i t} } $$ .This article describes a statistical technique to estimate the number of exponential terms, n,for the time course of drug by the application of Akaike
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         headline:Application of Akaike's information criterion (AIC) in the evaluation of linear pharmacokinetic equations
         description: According to linear pharmacokinetics, the time course of plasma concentration of a drug, Cp,is expressed by a sum of exponential functions, Cp=ε i=1 n ai $$C_p = \sum\nolimits_{i = 1}^n {a_i e^{ - b_i t} } $$ .This article describes a statistical technique to estimate the number of exponential terms, n,for the time course of drug by the application of Akaike's information criterion (AIC). Plasma concentrations of ethoxybenzamide, sulfisoxazole, bishydroxycoumarin, and diazepam measured following bolus intravenous injection were used as clinical examples for this method. Selection of models is compared between the AIC method and an Ftest method at significance levels of 5% and 1%.
         datePublished:2015-07-17T00:00:00Z
         dateModified:2015-07-17T00:00:00Z
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            amount of information in the time course
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         number of exponential terms
         amount of information in the time course
         Akaike's information criterion (AIC)
          F test
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         sulfisoxazole
         bishydroxycoumarin
         diazepam
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         Pharmacy
         Veterinary Medicine/Veterinary Science
         Biomedical Engineering and Bioengineering
         Biochemistry
         general
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