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R-based reproduction of the estimation process hidden behind NONMEM(R) Part 1: first-order approximation method
Translational and Clinical Pharmacology ; : 1-7, 2015.
Artículo en Inglés | WPRIM | ID: wpr-28189
ABSTRACT
NONMEM(R) is the most-widely used nonlinear mixed effects modelling tool introduced into population PK/PD analysis. Even though thousands of pharmaceutical scientists utilize NONMEM(R) routinely for their data analysis, the various estimation methods implemented in NONMEM(R) remain a mystery for most users due to the complex statistical and mathematical derivations underlying the algorithm used in NONMEM(R). In this tutorial, we demonstrated how to directly obtain the objective function value and post hoc eta 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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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Reproducción / Estadística como Asunto / Esperanza Idioma: Inglés Revista: Translational and Clinical Pharmacology Año: 2015 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Reproducción / Estadística como Asunto / Esperanza Idioma: Inglés Revista: Translational and Clinical Pharmacology Año: 2015 Tipo del documento: Artículo