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KMID : 1038020150230010001
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Translational and Clinical Pharmacology
2015 Volume.23 No. 1 p.1 ~ p.7
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based reproduction of the estimation process hidden behind NONMEM® Part 1: first-order approximation method
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Kim Min-Gul
Yim Dong-Seok
Bae Kyun-Seop
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Abstract
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NONMEM® is the most-widely used nonlinear mixed effects modelling tool introduced into population PK/PD analysis. Even though thousands of pharmaceutical scientists utilize NONMEM® routinely for their data analysis, the various estimation methods implemented in NONMEM® remain a mystery for most users due to the complex statistical and mathematical derivations underlying the algorithm used in NONMEM®. In this tutorial, we demonstrated how to directly obtain the objective function value and post hoc η for the first order approximation method by the use of R. We
hope that this tutorial helps pharmacometricians understand the underlying estimation process of nonlinear mixed effects modelling.
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KEYWORD
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NONMEM, modelling, First order approximation, R
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FullTexts / Linksout information
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Listed journal information
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