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Application of Akaike's information criterion (AIC) in the evaluation of linear pharmacokinetic equations
Authors:Kiyoshi Yamaoka  Terumichi Nakagawa  Toyozo Uno
Affiliation:(1) Faculty of Pharmaceutical Sciences, Kyoto University, 606 Kyoto, Japan
Abstract:According to linear pharmacokinetics, the time course of plasma concentration of a drug, Cp,is expressed by a sum of exponential functions, Cp=epsii=1nai
$$C_p  = sumnolimits_{i = 1}^n {a_i  e^{ - b_i t} } $$
.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%.
Keywords:linear pharmacokinetic equations  number of exponential terms  amount of information in the time course  Akaike's information criterion (AIC)  F test  ethoxybenzamide  sulfisoxazole  bishydroxycoumarin  diazepam
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