期刊
JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS
卷 34, 期 5, 页码 575-593出版社
SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10928-007-9060-6
关键词
nonlinear mixed-effects; likelihood approximation; Laplacian; first-order conditional method (FOCE); first-order method (FO)
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据