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Empirical likelihood estimation for population pharmacokinetic study based on generalized linear model
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نویسنده
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yan f.-r. ,lin j.-g. ,huang y. ,liu j.-l. ,lu t.
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منبع
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journal of applied mathematics - 2012 - دوره : 2012 - شماره : 0
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چکیده
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To obtain efficient estimation of parameters is a major objective in population pharmacokinetic study. in this paper,we propose an empirical likelihood-based method to analyze the population pharmacokinetic data based on the generalized linear model. a nonparametric version of the wilk's theorem for the limiting distributions of the empirical likelihood ratio is derived. simulations are conducted to demonstrate the accuracy and efficiency of empirical likelihood method. an application illustrating our methods and supporting the simulation study results is presented. the results suggest that the proposed method is feasible for population pharmacokinetic data. © 2012 fang-rong yan et al.
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آدرس
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department of mathematics,southeast university,nanjing 210096,china,department of mathematics,china pharmaceutical university,nanjing 210009,china,state key laboratory of natural medicines,china pharmaceutical university, China, department of mathematics,southeast university, China, department of mathematics,china pharmaceutical university,nanjing 210009,china,state key laboratory of natural medicines,china pharmaceutical university, China, department of mathematics,china pharmaceutical university,nanjing 210009,china,state key laboratory of natural medicines,china pharmaceutical university, China, department of mathematics,china pharmaceutical university,nanjing 210009,china,state key laboratory of natural medicines,china pharmaceutical university, China
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Authors
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