Derivation of various NONMEM estimation methods.

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Derivation of various NONMEM estimation methods. Abstract Text:

Yaning Wang,

Various estimation methods and the lack of a systematic derivation of the core objective function implemented in NONMEM for nonlinear mixed effect modeling has caused consistent confusion and inquiry among scientists who routinely use NONMEM for data analysis. This paper provides a detailed derivation of the objective functions for the most commonly used estimation methods in NONMEM, such as the Laplacian method, the first-order conditional estimation method (FOCE) with or without interaction, and the first-order method (FO). In addition, models with homogenous or heterogeneous residual error were used to demonstrate the relationship between the objective functions derived from two different types of approximation, namely Laplacian approximation of log-likelihood and linearized model approximation. The relationship between these estimation methods and those implemented in SAS and Splus is discussed.

Derivation of various NONMEM estimation methods. Publishing Authors By Initials

Y Wang,

For similar biochemical phenomena, metabolism, and nutrition: metabolism: pharmacokinetics research abstracts see: biochemical phenomena, metabolism, and nutrition: metabolism: pharmacokinetics research

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Derivation of various NONMEM estimation methods. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Journal of pharmacokinetics and pharmacodynamics

VOLUME: 34

Page Numbers: 575-93

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ISSN: 1567-567X

DAY: 10

MONTH: 07

YEAR: 2007

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LANGUAGE: eng

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Derivation of various NONMEM estimation methods. Keywords Mesh Terms:

KEYWORDS: Pharmacokinetics

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Grant and Affiliation Information for Derivation of various NONMEM estimation methods.

AFFILIATION: Food and Drug Administration, Office of Clinical Pharmacology, CDER, WO21 RM3662 HFD-880, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA. yaning.wang@fda.hhs.gov

Country: England

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MEDLINETA: J Pharmacokinet Pharmacodyn

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